Engineering Manager jobs at Airbnb

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. We're seeking an Engineering Manager to build and lead the next generation of Pinterest's big data storage platform. You'll grow and guide a team working with cutting-edge open source technologies-especially Apache Iceberg-operating at exabyte scale to power the data that helps Pinners discover and do what they love. What you'll do: Own the technical vision and long-term roadmap of Pinterest's exabyte data lake storage Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to unlock big data and ML/AI innovations Drive engagement and collaboration with open source communities, such as Iceberg, Spark, and Flink, to effectively address our scaling challenges Act as a stalwart of technical quality and excellence on the team, ensuring the solutions we deliver have a high level of polish and reliability What we're looking for: Bachelor's degree in a relevant field such as Computer Science, or equivalent experience 2+ years of management experience, or 3+ years tech lead experience in a 5+ person team 8+ years of relevant industry experience in leading the design of large scale & production distributed systems. Deep knowledge with building distributed systems. Strong cross-functional collaborator and communicator. Strong people development skills. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-HYBRID #LI-AH2 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$177,185-$364,795 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Pinterest is one of the fastest growing online ad platforms, and our success depends on mining rich user interest data that helps us connect users with highly relevant advertisers/ products. We're looking for a leader with experience in machine learning, data mining, and information retrieval to lead a team that develops new data-driven techniques to show the most engaging and relevant promoted content to the users. You'll be leading a world-class ML team that is growing quickly and laying the foundation for Pinterest's business success. What you'll do: Manage and grow the engineering team, providing technical vision and long-term roadmap Design and implement algorithms for real-time bidding, ad scoring/ranking, inventory selection and yield optimization on the DSP Hire, mentor and grow a team of engineers. Set technical direction, manage project roadmaps, and actively guide team execution. Collaborate across Product, Engineering, Marketing and Sales - translating business goals into ML requirements and ensuring solutions meet cross-functional needs Product strategy and advocacy. Define and evangelize the ML roadmap for programmatic products. Present findings and roadmaps to senior leadership, and work with stakeholders to align analytics projects with company goals (e.g. privacy-first personalization, new DSP features) What we're looking for: M.S/ PhD degree in Computer Science, Statistics or related field 10+ years of industry experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing Experience in programmatic advertising or information retrieval contexts (RTB, DSP/SSP, search). Familiarity with ad campaign metrics, auction mechanics and yield optimization Excellent at cross-functional collaboration and stakeholder communication Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle, Los Angeles. #LI-HYBRID #LI-SM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$314,580-$550,515 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Pinterest is one of the fastest growing online ad platforms, and our success depends on mining rich user interest data that helps us connect users with highly relevant advertisers/ products. We're looking for a leader with experience in machine learning, data mining, and information retrieval to lead a team that develops new data-driven techniques to show the most engaging and relevant promoted content to the users. You'll be leading a world-class ML team that is growing quickly and laying the foundation for Pinterest's business success. What you'll do: * Manage and grow the engineering team, providing technical vision and long-term roadmap * Design and implement algorithms for real-time bidding, ad scoring/ranking, inventory selection and yield optimization on the DSP * Hire, mentor and grow a team of engineers. Set technical direction, manage project roadmaps, and actively guide team execution. Collaborate across Product, Engineering, Marketing and Sales - translating business goals into ML requirements and ensuring solutions meet cross-functional needs * Product strategy and advocacy. Define and evangelize the ML roadmap for programmatic products. Present findings and roadmaps to senior leadership, and work with stakeholders to align analytics projects with company goals (e.g. privacy-first personalization, new DSP features) What we're looking for: * M.S/ PhD degree in Computer Science, Statistics or related field * 10+ years of industry experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing * Experience in programmatic advertising or information retrieval contexts (RTB, DSP/SSP, search). Familiarity with ad campaign metrics, auction mechanics and yield optimization * Excellent at cross-functional collaboration and stakeholder communication Relocation Statement: * This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: * We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. * This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle, Los Angeles. #LI-HYBRID #LI-SM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $314,580-$550,515 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description Team Overview: The Notification AI team builds large-scale, high-quality machine learning systems that deliver the right content to the right member, through the right channel, at the right time-and at the right frequency. Our mission is to maintain a healthy, relevant, and delightful notification ecosystem that helps members achieve their professional goals while ensuring every interaction provides meaningful value. We power AI-driven systems that target, rank, and make decisions across LinkedIn's notification portfolio, enabling product teams to deliver member value efficiently and responsibly. Notifications AI directly shapes the value members get from the platform, driving over 50% of total engagement on LinkedIn and helping millions of professionals reconnect with opportunities that matter. Our work spans large language models, recommendation systems, and scalable architectures that deepen LinkedIn's understanding of members-their skills, journeys, and evolving intent-so we can surface the most relevant content, jobs, and connections to help them grow their professional networks meaningfully. The team has an ambitious roadmap and partners closely with Product, Engineering, and Data Science to deliver scalable, leverageable AI solutions with global member impact. If you're looking to lead a highly visible, fast-moving, and exceptionally talented team at the intersection of cutting-edge research and real-world impact-and have fun while doing it-Notifications AI is the place for you! Location: At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This job is based in Sunnyvale, CA. Key Responsibilities: Lead a team of AI Scientists/Engineers to build scalable notification recommendation systems at Linkedin. We're looking for a technical manager with strong leadership, technical vision, and collaboration skills to drive impact and build great team culture. Lead and inspire the team: Manage and grow a high-performing team of researchers/applied scientists, and engineers. Attract, mentor, and develop diverse talent while fostering an inclusive, collaborative environment where people feel empowered to share ideas, take smart risks, and grow into technical leaders. Set strategy and direction: Translate product and business needs into a clear, focused technical roadmap. Ensure the team's day-to-day work aligns with LinkedIn's mission and long-term priorities. Partner with senior leadership to shape long-range AI and infrastructure strategy. Advance state-of-the-art recommender systems: Lead the team in developing and deploying scalable retrieval and ranking systems powered by large language models (LLMs) and advanced ML solutions to optimize notification timing and delivery decisions. Leverage LinkedIn's rich data ecosystem to ground model outputs, improve relevance, and strengthen end-to-end notification quality. As a hands-on technical manager, guide critical technical decisions and collaborate closely with technical leaders across the organization. Ensure scalability and efficiency: Collaborate with infrastructure and platform teams retrieval and serving system performance optimizations through advanced techniques like GPU-powered retrieval-as-ranking optimization, adaptive caching, and parameter-efficient fine-tuning. Maintain high standards for reliability, scalability, and latency. Drive alignment and cross-functional collaboration: Work closely with partner teams to identify shared opportunities, align on long-term goals, and maintain consistent progress. Address misalignments proactively with clarity, empathy, and data-driven reasoning. Promote innovation and high-quality execution: Create a culture that encourages experimentation, curiosity, and continuous improvement. Ensure the team adheres to strong engineering and scientific practices, enabling rapid iteration through A/B testing and rigorous evaluation. Qualifications Basic Qualifications: * BA/BS in Computer Science or other technical discipline, or related practical technical experience * 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training * 5+ years of related industry experience in software design, development, and algorithm related solutions * 1+ years of experience in software engineering/technical engineering management and people management * 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training * Hands on experience in data modeling and machine learning Preferred Qualifications: * Master's degree in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, or a related field * Ph.D. in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, or a related discipline * Strong technical background and experience leading teams in Machine Learning, LLMs, Retrieval systems, Large-model optimization, On-device ML * Experience designing and deploying large-scale recommender systems * Published work in academic or industry forums * 7+ years of industry experience Suggested Skills: * Large-scale AI problem * Technical background * Strategic thinking * Machine Learning, Big Data and Deep Learning You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. * - Compensation: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $170,000 to $277,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description Team Overview: The Notification AI team builds large-scale, high-quality machine learning systems that deliver the right content to the right member, through the right channel, at the right time-and at the right frequency. Our mission is to maintain a healthy, relevant, and delightful notification ecosystem that helps members achieve their professional goals while ensuring every interaction provides meaningful value. We power AI-driven systems that target, rank, and make decisions across LinkedIn's notification portfolio, enabling product teams to deliver member value efficiently and responsibly. Notifications AI directly shapes the value members get from the platform, driving over 50% of total engagement on LinkedIn and helping millions of professionals reconnect with opportunities that matter. Our work spans large language models, recommendation systems, and scalable architectures that deepen LinkedIn's understanding of members-their skills, journeys, and evolving intent-so we can surface the most relevant content, jobs, and connections to help them grow their professional networks meaningfully. The team has an ambitious roadmap and partners closely with Product, Engineering, and Data Science to deliver scalable, leverageable AI solutions with global member impact. If you're looking to lead a highly visible, fast-moving, and exceptionally talented team at the intersection of cutting-edge research and real-world impact-and have fun while doing it-Notifications AI is the place for you! Location: At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This job is based in Sunnyvale, CA. Key Responsibilities: Lead a team of AI Scientists/Engineers to build scalable notification recommendation systems at Linkedin. We're looking for a technical manager with strong leadership, technical vision, and collaboration skills to drive impact and build great team culture. Lead and inspire the team: Manage and grow a high-performing team of researchers/applied scientists, and engineers. Attract, mentor, and develop diverse talent while fostering an inclusive, collaborative environment where people feel empowered to share ideas, take smart risks, and grow into technical leaders. Set strategy and direction: Translate product and business needs into a clear, focused technical roadmap. Ensure the team's day-to-day work aligns with LinkedIn's mission and long-term priorities. Partner with senior leadership to shape long-range AI and infrastructure strategy. Advance state-of-the-art recommender systems: Lead the team in developing and deploying scalable retrieval and ranking systems powered by large language models (LLMs) and advanced ML solutions to optimize notification timing and delivery decisions. Leverage LinkedIn's rich data ecosystem to ground model outputs, improve relevance, and strengthen end-to-end notification quality. As a hands-on technical manager, guide critical technical decisions and collaborate closely with technical leaders across the organization. Ensure scalability and efficiency: Collaborate with infrastructure and platform teams retrieval and serving system performance optimizations through advanced techniques like GPU-powered retrieval-as-ranking optimization, adaptive caching, and parameter-efficient fine-tuning. Maintain high standards for reliability, scalability, and latency. Drive alignment and cross-functional collaboration: Work closely with partner teams to identify shared opportunities, align on long-term goals, and maintain consistent progress. Address misalignments proactively with clarity, empathy, and data-driven reasoning. Promote innovation and high-quality execution: Create a culture that encourages experimentation, curiosity, and continuous improvement. Ensure the team adheres to strong engineering and scientific practices, enabling rapid iteration through A/B testing and rigorous evaluation. Qualifications Basic Qualifications: BA/BS in Computer Science or other technical discipline, or related practical technical experience 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training 5+ years of related industry experience in software design, development, and algorithm related solutions 1+ years of experience in software engineering/technical engineering management and people management 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training Hands on experience in data modeling and machine learning Preferred Qualifications: Master's degree in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, or a related field Ph.D. in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, or a related discipline Strong technical background and experience leading teams in Machine Learning, LLMs, Retrieval systems, Large-model optimization, On-device ML Experience designing and deploying large-scale recommender systems Published work in academic or industry forums 7+ years of industry experience Suggested Skills: Large-scale AI problem Technical background Strategic thinking Machine Learning, Big Data and Deep Learning You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. -- Compensation: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $170,000 to $277,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. **Team Overview:** The Notification AI team builds large-scale, high-quality machine learning systems that deliver the right content to the right member, through the right channel, at the right time-and at the right frequency. Our mission is to maintain a healthy, relevant, and delightful notification ecosystem that helps members achieve their professional goals while ensuring every interaction provides meaningful value. We power AI-driven systems that target, rank, and make decisions across LinkedIn's notification portfolio, enabling product teams to deliver member value efficiently and responsibly. Notifications AI directly shapes the value members get from the platform, driving over 50% of total engagement on LinkedIn and helping millions of professionals reconnect with opportunities that matter. Our work spans large language models, recommendation systems, and scalable architectures that deepen LinkedIn's understanding of members-their skills, journeys, and evolving intent-so we can surface the most relevant content, jobs, and connections to help them grow their professional networks meaningfully. The team has an ambitious roadmap and partners closely with Product, Engineering, and Data Science to deliver scalable, leverageable AI solutions with global member impact. If you're looking to lead a highly visible, fast-moving, and exceptionally talented team at the intersection of cutting-edge research and real-world impact-and have fun while doing it-Notifications AI is the place for you! **Location:** At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This job is based in Sunnyvale, CA. **Key Responsibilities:** Lead a team of AI Scientists/Engineers to build scalable notification recommendation systems at Linkedin. We're looking for a technical manager with strong leadership, technical vision, and collaboration skills to drive impact and build great team culture. **Lead and inspire the team:** Manage and grow a high-performing team of researchers/applied scientists, and engineers. Attract, mentor, and develop diverse talent while fostering an inclusive, collaborative environment where people feel empowered to share ideas, take smart risks, and grow into technical leaders. **Set strategy and direction** : Translate product and business needs into a clear, focused technical roadmap. Ensure the team's day-to-day work aligns with LinkedIn's mission and long-term priorities. Partner with senior leadership to shape long-range AI and infrastructure strategy. **Advance state-of-the-art recommender systems:** Lead the team in developing and deploying scalable retrieval and ranking systems powered by large language models (LLMs) and advanced ML solutions to optimize notification timing and delivery decisions. Leverage LinkedIn's rich data ecosystem to ground model outputs, improve relevance, and strengthen end-to-end notification quality. As a hands-on technical manager, guide critical technical decisions and collaborate closely with technical leaders across the organization. **Ensure scalability and efficiency:** Collaborate with infrastructure and platform teams retrieval and serving system performance optimizations through advanced techniques like GPU-powered retrieval-as-ranking optimization, adaptive caching, and parameter-efficient fine-tuning. Maintain high standards for reliability, scalability, and latency. **Drive alignment and cross-functional collaboration:** Work closely with partner teams to identify shared opportunities, align on long-term goals, and maintain consistent progress. Address misalignments proactively with clarity, empathy, and data-driven reasoning. **Promote innovation and high-quality execution:** Create a culture that encourages experimentation, curiosity, and continuous improvement. Ensure the team adheres to strong engineering and scientific practices, enabling rapid iteration through A/B testing and rigorous evaluation. **Basic Qualifications:** + BA/BS in Computer Science or other technical discipline, or related practical technical experience + 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training + 5+ years of related industry experience in software design, development, and algorithm related solutions + 1+ years of experience in software engineering/technical engineering management and people management + 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training + Hands on experience in data modeling and machine learning **Preferred Qualifications:** + Master's degree in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, or a related field + Ph.D. in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, or a related discipline + Strong technical background and experience leading teams in Machine Learning, LLMs, Retrieval systems, Large-model optimization, On-device ML + Experience designing and deploying large-scale recommender systems + Published work in academic or industry forums + 7+ years of industry experience **Suggested Skills:** + Large-scale AI problem + Technical background + Strategic thinking + Machine Learning, Big Data and Deep Learning **You will Benefit from our Culture:** We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. -- Compensation: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $170,000 to $277,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************* . **Equal Opportunity Statement** We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: + Documents in alternate formats or read aloud to you + Having interviews in an accessible location + Being accompanied by a service dog + Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **Pay Transparency Policy Statement ** As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** **Global Data Privacy Notice for Job Candidates ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description Team Overview: On the Feed AI team, our mission is to help all our 1B+ members advance their careers through having conversations with a variety of professional communities on the Feed. We are achieving this through building a knowledge marketplace with high-quality content, and nurturing the knowledge flow from our knowledge creators to knowledge seekers.We leverage machine learning techniques like Large Language Models, Generative Recommenders, Explore/Exploit, Deep Learning and Reinforcement Learning, coupled with multi-objective optimization and supply demand analysis. As an Engineering Manager at Feed AI, you will be jointly defining the vision/mission/strategy of Feed ecosystem along with Product and Data Science partners, chasing cutting-edge AI innovations with Foundation and Infra partners, and leading a group of machine learning engineers in tackling various ecosystem optimization and platformization problems. Location: At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in Sunnyvale, CA. Responsibilities: * Lead a team of ~10 machine learning engineers to deliver ecosystem-wide impact through LinkedIn newsfeed * Define data-driven product/technology strategic roadmap with product and data science partners * Build scalable AI innovations with foundation and infra partners * Grow/hire top talents and build a world-class team of passionate engineers. Qualifications Basic Qualifications: * 1+ year(s) of experience leading a team of AI/ML engineers as a people manager, or 1+ year(s) as a Staff Engineer with completion of a formal management training program. * 5+ years of industry experience, including significant work in the field of AI and/or Machine Learning. * BA/BS in Computer Science or other technical discipline, or related practical technical experience Preferred Qualifications: * 10+ years of overall experience in AI engineering and/or leadership. * 2+ years of management experience, leading teams of 5-10+ engineers. * PhD in Computer Science, Machine Learning, Statistics or related field. * Expert in recommendation system, LLM, knowledge graph, and natural language processing * Experience developing large scale, enterprise grade solutions/systems * Track record of producing papers in conferences such as KDD, WWW, WSDM, ... and patenting innovations Suggested Skills: * Large-scale AI Solutions * Technical Leadership * Management * Critical Thinking You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. * - Compensation: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $170,000 to $277,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. **Team Overview:** LinkedIn's Core AI organization is dedicated to transforming the professional world through innovative solutions, including advanced models, agents, and AI systems. Our 'HALO' Evaluation Engineering team builds core technology that powers LinkedIn's model and agent evaluation ecosystem. This is a horizontal and deeply cross-functional team empowering product, linguists, and operations partners to evaluate new AI solutions quickly, efficiently, and at scale. **Location:** At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in Sunnyvale, CA. **Responsibilities:** + Provide direct leadership for a team of 5-7 engineers. + Work closely with various other teams across LinkedIn to align on initiatives, leveraging existing solutions, and ensure optimal collaboration. + Participate in and facilitate technical and design discussions + Contribute to the hands-on execution of technical solutions (coding, design, etc.). + Leverage best practices & processes to ensure productivity of the team and drive faster iterations + Attract world class talent and provide technical guidance, career development, and mentoring to team members. **Basic Qualifications:** + 5+ years of related industry experience in software/platform design, development, and related solutions + 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training + BA/BS in Computer Science or other technical discipline, or related practical technical experience **Preferred Qualifications: ** + 2+ years of experience as a Technical Lead (Staff or Manager) + 7+ years of overall experience including prior work with AI operations or related solutions. + Experience building enterprise grade data platforms + MS or PhD in Computer Science, Machine Learning, Statistics or related fields **Suggested Skills:** + Technical Leadership + AI Infrastructure + Platform Engineering **You will Benefit from our Culture:** We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. Compensation: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $170,000 - $277,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** **Equal Opportunity Statement** We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: + Documents in alternate formats or read aloud to you + Having interviews in an accessible location + Being accompanied by a service dog + Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **Pay Transparency Policy Statement ** As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** **Global Data Privacy Notice for Job Candidates ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be hybrid in LinkedIn's Mountain View campus. Governance, Risk, Automation, Compliance & Engineering: Trust is our foundation. At LinkedIn, we build secure, compliant infrastructure with integrity woven into every layer. By embedding security, governance, and regulatory alignment into our development lifecycle and business, we don't just protect our members, customers, and employees-we set the standard for trusted technology and operations at scale. Our commitment to our customers and members isn't just a statement; it's engineered into our culture of security and compliance through these foundational pillars: Proactive Governance & Engineering Alignment Scaled Lifecycle & Integrated Controls Assured Ecosystem & Quantified Risk Management Role Summary LinkedIn is seeking a strategic and technical Manager for Engineering Compliance to lead a team focussed on the full lifecycle of building and overseeing compliance across the enterprise. This leadership role will be key to strengthening and scaling LinkedIn's compliance posture through embedding compliance and security into products and engineering systems. The role will focus on various global regulatory frameworks and certifications. Primary focus will be the full compliance lifecycle related to these horizontals: Finance, Completion (e.g. DMA) , Content (e.g. DSA), AI - these include but not limited to: SOX, Non Financial Disclosure Metrics, MRC Certification, AI regulations, Enterprise Risks. Additionally you will also partner closely on: Security, AI Compliance, Infrastructure Risks, Privacy regulatory compliance programs and certifications. You will guide a team of compliance engineers and analysts, and collaborate cross functionally with engineering, product, legal, partner compliance teams, finance, sales and enterprise teams to establish and scale compliance engineering programs across the company. You will be crucial in aligning our engineering compliance strategy with LinkedIn's overarching business objectives, fostering a culture where compliance is integrated seamlessly into system design and engineering practices. Key Responsibilities Lead & Mentor: Lead and mentor a high-performing team of risk and compliance engineers. Foster a culture of trust, inclusion, and technical excellence. Provide strategic direction, career development, and performance coaching. Program Ownership: Partner closely across engineering teams to proactively build compliance as part of system design Own and deliver regulatory programs, including regulations covering AI regulations and standards, Competition (DMA), Finance (SOX, Non Financial Metrics), Product Certifications (e.g. MRC), Privacy and emerging frameworks. Lead team to deliver on multiple compliance and regulatory programs - which includes: establishing compliance programs for new regulations or major systems, compliance readiness assessments, audits and certifications. Strategic Partnership Collaborate with engineering, product, finance, legal, and security teams for end to end compliance lifecycle from obligation requirements, translation to technical roadmap all the way through controls assurance and reporting Build partnership with cross functional teams for compliance to help address the risks optimally, and drive planning for compliance across org Audit & Stakeholder Engagement Lead the team for pre-audit preparation with engineering owners and stakeholders, drive org wide trainings Drive engineering compliance collaboration for audits and represent engineering controls and posture during audits, certifications and reviews Regulatory Monitoring & Impact Analysis Monitor emerging regulations and translate them into actionable engineering and process changes. Conduct risk assessments and regulatory impact analyses. Metrics & Governance Define and report compliance metrics, risks, and trends. Participate in governance forums and certification steering committees. Incident & Remediation Management Build scalable systems for incident tracking, root cause analysis, remediation planning, and verification. Ensure sustainable long-term solutions for compliance-related issues. Training & Enablement Sponsor and oversee training programs for engineering teams. Ensure control owners and developers understand their compliance responsibilities. Drive awareness through onboarding, quarterly reviews, and enablement sessions. Qualifications Basic Qualifications BA/BS in Computer Science, Engineering, Accounting, or related technical discipline (or equivalent practical experience). 8+ years of relevant experience in technology compliance, engineering risk, or systems audit. 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training 2+ Experience senior level stakeholder management and cross functional collaboration Experience leading regulatory compliance programs like DMA, SOX, AI and / or related compliance programs Experience with engineering systems and processes Experience with compliance domains such as Access Management, Change Management, Ads revenue compliance, Information Security, or related technical control environments. Experience conducting system design reviews, code reviews, or large-scale compliance assessments. Preferred Qualifications MS in MIS, MBA, or related advanced degree. 4+ years of leadership experience managing engineering or compliance teams. 12+ years of engineering compliance or systems audit experience in the technology sector. Experience managing compliance programs for regulations such as SOX, MRC, DMA, DSA, AI Governance, and international standards like ISO, SOC, GDPR. Deep understanding of compliance frameworks, controls, and best practices (SSAE 16 - SOC 1 & 2, PCI, ISO, GDPR, etc.). Demonstrated success in building and scaling automated compliance solutions in engineering environments. Strong program management skills, with the ability to manage multiple priorities in a fast-paced, high-growth environment. Professional certifications such as CISSP, CISA, or equivalent. Suggested Skills & Technical Experience Leadership in IT / Systems Technology Compliance & Audit Technology Risk Assessment & Regulatory Impact Analysis Technical fluency in Java, SQL, Hadoop, Azure, Kubernetes, and large-scale distributed systems Financial reporting and revenue compliance in technology contexts Strong interpersonal, communication, and influencing skills across technical and non-technical stakeholders You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $139,000 - 229,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be hybrid in LinkedIn's Mountain View campus. About the team Governance, Risk, Automation, Compliance & Engineering: Trust is our foundation. At LinkedIn, we build secure, compliant infrastructure with integrity woven into every layer. By embedding security, governance, and regulatory alignment into our development lifecycle and business, we don't just protect our members, customers, and employees-we set the standard for trusted technology and operations at scale. Our commitment to our customers and members isn't just a statement; it's engineered into our culture of security and compliance through these foundational pillars: Proactive Governance & Engineering Alignment Scaled Lifecycle & Integrated Controls Assured Ecosystem & Quantified Risk Management Role Summary LinkedIn is seeking a strategic and technical Manager for Engineering Compliance to lead a team focussed on the full lifecycle of building and overseeing compliance across the enterprise. This leadership role will be key to strengthening and scaling LinkedIn's compliance posture through embedding compliance and security into products and engineering systems. The role will focus on various global regulatory frameworks and certifications. Primary focus will be the full compliance lifecycle related to these horizontals: Security, AI Compliance, Infrastructure Risks, Privacy - these include but not limited to: SOC 2, PCI, ISO, CRA, NIS2. EU AI Act. Additionally you will also partner closely on leading: Content (e.g. DSA), Competition (e.g. DMA), Finance (e.g. SOX) and Enterprise Risk horizontals You will guide a team of compliance engineers and analysts, and collaborate cross functionally with engineering, product, legal, partner compliance teams, finance, sales and enterprise teams to establish and scale compliance engineering programs across the company. You will be crucial in aligning our engineering compliance strategy with LinkedIn's overarching business objectives, fostering a culture where compliance is integrated seamlessly into system design and engineering practices. Key Responsibilities Lead & Mentor: Lead and mentor a high-performing team of risk and compliance engineers. Foster a culture of trust, inclusion, and technical excellence. Provide strategic direction, career development, and performance coaching. Program Ownership: Partner closely across engineering teams to proactively build compliance as part of system design Own and deliver regulatory programs, including regulations covering AI regulations and standards, Competition (DMA), Finance (SOX, Non Financial Metrics), Product Certifications (e.g. MRC), Privacy and emerging frameworks. Lead team to deliver on multiple compliance and regulatory programs - which includes: establishing compliance programs for new regulations or major systems, compliance readiness assessments, audits and certifications. Strategic Partnership Collaborate with engineering, product, finance, legal, and security teams for end to end compliance lifecycle from obligation requirements, translation to technical roadmap all the way through controls assurance and reporting Build partnership with cross functional teams for compliance to help address the risks optimally, and drive planning for compliance across org Audit & Stakeholder Engagement Lead the team for pre-audit preparation with engineering owners and stakeholders, drive org wide trainings Drive engineering compliance collaboration for audits and represent engineering controls and posture during audits, certifications and reviews Regulatory Monitoring & Impact Analysis Monitor emerging regulations and translate them into actionable engineering and process changes. Conduct risk assessments and regulatory impact analyses. Metrics & Governance Define and report compliance metrics, risks, and trends. Participate in governance forums and certification steering committees. Incident & Remediation Management Build scalable systems for incident tracking, root cause analysis, remediation planning, and verification. Ensure sustainable long-term solutions for compliance-related issues. Training & Enablement Sponsor and oversee training programs for engineering teams. Ensure control owners and developers understand their compliance responsibilities. Drive awareness through onboarding, quarterly reviews, and enablement sessions. Qualifications Basic Qualifications BA/BS in Computer Science, Engineering, Applied Math, or related technical discipline (or equivalent practical experience). 8+ years of relevant experience in technology compliance, engineering risk, or systems audit. 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training 2+ Experience senior level stakeholder management and cross functional collaboration Experience leading security compliance programs and related certifications like SOC 2, PCI, ISO, BCMS, Privacy Experience with security, engineering systems and processes Experience with compliance domains such as Access Management, Change Management, Ads revenue compliance, Information Security, or related technical control environments. Experience conducting system design reviews, code reviews, or large-scale compliance assessments. Preferred Qualifications MS in MIS, MBA, or related advanced degree. 4+ years of leadership experience managing engineering or compliance teams. 12+ years of engineering compliance or systems audit experience in the technology sector. Experience managing compliance programs for regulations such as SOX, MRC, DMA, DSA, AI Governance, and international standards like ISO, SOC, GDPR. Deep understanding of compliance frameworks, controls, and best practices (SSAE 16 - SOC 1 & 2, PCI, ISO, GDPR, etc.). Demonstrated success in building and scaling automated compliance solutions in engineering environments. Strong program management skills, with the ability to manage multiple priorities in a fast-paced, high-growth environment. Professional certifications such as CISSP, CISA, or equivalent. Suggested Skills & Technical Experience Leadership in IT / Systems Technology Compliance & Audit Technology Risk Assessment & Regulatory Impact Analysis Technical fluency in Java, SQL, Hadoop, Azure, Kubernetes, and large-scale distributed systems Financial reporting and revenue compliance in technology contexts Strong interpersonal, communication, and influencing skills across technical and non-technical stakeholders You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $139,000 - 229,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be hybrid in LinkedIn's Mountain View campus. Governance, Risk, Automation, Compliance & Engineering: Trust is our foundation. At LinkedIn, we build secure, compliant infrastructure with integrity woven into every layer. By embedding security, governance, and regulatory alignment into our development lifecycle and business, we don't just protect our members, customers, and employees-we set the standard for trusted technology and operations at scale. Our commitment to our customers and members isn't just a statement; it's engineered into our culture of security and compliance through these foundational pillars: + Proactive Governance & Engineering Alignment + Scaled Lifecycle & Integrated Controls + Assured Ecosystem & Quantified Risk Management Role Summary LinkedIn is seeking a strategic and technical Manager for Engineering Compliance to lead a team focussed on the full lifecycle of building and overseeing compliance across the enterprise. This leadership role will be key to strengthening and scaling LinkedIn's compliance posture through embedding compliance and security into products and engineering systems. The role will focus on various global regulatory frameworks and certifications. Primary focus will be the full compliance lifecycle related to these horizontals: Finance, Completion (e.g. DMA) , Content (e.g. DSA), AI - these include but not limited to: SOX, Non Financial Disclosure Metrics, MRC Certification, AI regulations, Enterprise Risks. Additionally you will also partner closely on: Security, AI Compliance, Infrastructure Risks, Privacy regulatory compliance programs and certifications. You will guide a team of compliance engineers and analysts, and collaborate cross functionally with engineering, product, legal, partner compliance teams, finance, sales and enterprise teams to establish and scale compliance engineering programs across the company. You will be crucial in aligning our engineering compliance strategy with LinkedIn's overarching business objectives, fostering a culture where compliance is integrated seamlessly into system design and engineering practices. Key Responsibilities + Lead & Mentor: + Lead and mentor a high-performing team of risk and compliance engineers. + Foster a culture of trust, inclusion, and technical excellence. + Provide strategic direction, career development, and performance coaching. + Program Ownership: + Partner closely across engineering teams to proactively build compliance as part of system design + Own and deliver regulatory programs, including regulations covering AI regulations and standards, Competition (DMA), Finance (SOX, Non Financial Metrics), Product Certifications (e.g. MRC), Privacy and emerging frameworks. + Lead team to deliver on multiple compliance and regulatory programs - which includes: establishing compliance programs for new regulations or major systems, compliance readiness assessments, audits and certifications. + Strategic Partnership + Collaborate with engineering, product, finance, legal, and security teams for end to end compliance lifecycle from obligation requirements, translation to technical roadmap all the way through controls assurance and reporting + Build partnership with cross functional teams for compliance to help address the risks optimally, and drive planning for compliance across org + Audit & Stakeholder Engagement + Lead the team for pre-audit preparation with engineering owners and stakeholders, drive org wide trainings + Drive engineering compliance collaboration for audits and represent engineering controls and posture during audits, certifications and reviews + Regulatory Monitoring & Impact Analysis + Monitor emerging regulations and translate them into actionable engineering and process changes. + Conduct risk assessments and regulatory impact analyses. + Metrics & Governance + Define and report compliance metrics, risks, and trends. + Participate in governance forums and certification steering committees. + Incident & Remediation Management + Build scalable systems for incident tracking, root cause analysis, remediation planning, and verification. + Ensure sustainable long-term solutions for compliance-related issues. + Training & Enablement + Sponsor and oversee training programs for engineering teams. + Ensure control owners and developers understand their compliance responsibilities. + Drive awareness through onboarding, quarterly reviews, and enablement sessions. Basic Qualifications + BA/BS in Computer Science, Engineering, Accounting, or related technical discipline (or equivalent practical experience). + 8+ years of relevant experience in technology compliance, engineering risk, or systems audit. + 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training + 2+ Experience senior level stakeholder management and cross functional collaboration + Experience leading regulatory compliance programs like DMA, SOX, AI and / or related compliance programs + Experience with engineering systems and processes + Experience with compliance domains such as Access Management, Change Management, Ads revenue compliance, Information Security, or related technical control environments. + Experience conducting system design reviews, code reviews, or large-scale compliance assessments. Preferred Qualifications + MS in MIS, MBA, or related advanced degree. + 4+ years of leadership experience managing engineering or compliance teams. + 12+ years of engineering compliance or systems audit experience in the technology sector. + Experience managing compliance programs for regulations such as SOX, MRC, DMA, DSA, AI Governance, and international standards like ISO, SOC, GDPR. + Deep understanding of compliance frameworks, controls, and best practices (SSAE 16 - SOC 1 & 2, PCI, ISO, GDPR, etc.). + Demonstrated success in building and scaling automated compliance solutions in engineering environments. + Strong program management skills, with the ability to manage multiple priorities in a fast-paced, high-growth environment. + Professional certifications such as CISSP, CISA, or equivalent. Suggested Skills & Technical Experience + Leadership in IT / Systems Technology Compliance & Audit + Technology Risk Assessment & Regulatory Impact Analysis + Technical fluency in Java, SQL, Hadoop, Azure, Kubernetes, and large-scale distributed systems + Financial reporting and revenue compliance in technology contexts + Strong interpersonal, communication, and influencing skills across technical and non-technical stakeholders You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $139,000 - 229,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** **Equal Opportunity Statement** We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: + Documents in alternate formats or read aloud to you + Having interviews in an accessible location + Being accompanied by a service dog + Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **Pay Transparency Policy Statement ** As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** **Global Data Privacy Notice for Job Candidates ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be hybrid in LinkedIn's Mountain View campus. About the team Governance, Risk, Automation, Compliance & Engineering: Trust is our foundation. At LinkedIn, we build secure, compliant infrastructure with integrity woven into every layer. By embedding security, governance, and regulatory alignment into our development lifecycle and business, we don't just protect our members, customers, and employees-we set the standard for trusted technology and operations at scale. Our commitment to our customers and members isn't just a statement; it's engineered into our culture of security and compliance through these foundational pillars: + Proactive Governance & Engineering Alignment + Scaled Lifecycle & Integrated Controls + Assured Ecosystem & Quantified Risk Management Role Summary LinkedIn is seeking a strategic and technical Manager for Engineering Compliance to lead a team focussed on the full lifecycle of building and overseeing compliance across the enterprise. This leadership role will be key to strengthening and scaling LinkedIn's compliance posture through embedding compliance and security into products and engineering systems. The role will focus on various global regulatory frameworks and certifications. Primary focus will be the full compliance lifecycle related to these horizontals: Security, AI Compliance, Infrastructure Risks, Privacy - these include but not limited to: SOC 2, PCI, ISO, CRA, NIS2. EU AI Act. Additionally you will also partner closely on leading: Content (e.g. DSA), Competition (e.g. DMA), Finance (e.g. SOX) and Enterprise Risk horizontals You will guide a team of compliance engineers and analysts, and collaborate cross functionally with engineering, product, legal, partner compliance teams, finance, sales and enterprise teams to establish and scale compliance engineering programs across the company. You will be crucial in aligning our engineering compliance strategy with LinkedIn's overarching business objectives, fostering a culture where compliance is integrated seamlessly into system design and engineering practices. Key Responsibilities + Lead & Mentor: + Lead and mentor a high-performing team of risk and compliance engineers. + Foster a culture of trust, inclusion, and technical excellence. + Provide strategic direction, career development, and performance coaching. + Program Ownership: + Partner closely across engineering teams to proactively build compliance as part of system design + Own and deliver regulatory programs, including regulations covering AI regulations and standards, Competition (DMA), Finance (SOX, Non Financial Metrics), Product Certifications (e.g. MRC), Privacy and emerging frameworks. + Lead team to deliver on multiple compliance and regulatory programs - which includes: establishing compliance programs for new regulations or major systems, compliance readiness assessments, audits and certifications. + Strategic Partnership + Collaborate with engineering, product, finance, legal, and security teams for end to end compliance lifecycle from obligation requirements, translation to technical roadmap all the way through controls assurance and reporting + Build partnership with cross functional teams for compliance to help address the risks optimally, and drive planning for compliance across org + Audit & Stakeholder Engagement + Lead the team for pre-audit preparation with engineering owners and stakeholders, drive org wide trainings + Drive engineering compliance collaboration for audits and represent engineering controls and posture during audits, certifications and reviews + Regulatory Monitoring & Impact Analysis + Monitor emerging regulations and translate them into actionable engineering and process changes. + Conduct risk assessments and regulatory impact analyses. + Metrics & Governance + Define and report compliance metrics, risks, and trends. + Participate in governance forums and certification steering committees. + Incident & Remediation Management + Build scalable systems for incident tracking, root cause analysis, remediation planning, and verification. + Ensure sustainable long-term solutions for compliance-related issues. + Training & Enablement + Sponsor and oversee training programs for engineering teams. + Ensure control owners and developers understand their compliance responsibilities. + Drive awareness through onboarding, quarterly reviews, and enablement sessions. Basic Qualifications + BA/BS in Computer Science, Engineering, Applied Math, or related technical discipline (or equivalent practical experience). + 8+ years of relevant experience in technology compliance, engineering risk, or systems audit. + 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training + 2+ Experience senior level stakeholder management and cross functional collaboration + Experience leading security compliance programs and related certifications like SOC 2, PCI, ISO, BCMS, Privacy + Experience with security, engineering systems and processes + Experience with compliance domains such as Access Management, Change Management, Ads revenue compliance, Information Security, or related technical control environments. + Experience conducting system design reviews, code reviews, or large-scale compliance assessments. Preferred Qualifications + MS in MIS, MBA, or related advanced degree. + 4+ years of leadership experience managing engineering or compliance teams. + 12+ years of engineering compliance or systems audit experience in the technology sector. + Experience managing compliance programs for regulations such as SOX, MRC, DMA, DSA, AI Governance, and international standards like ISO, SOC, GDPR. + Deep understanding of compliance frameworks, controls, and best practices (SSAE 16 - SOC 1 & 2, PCI, ISO, GDPR, etc.). + Demonstrated success in building and scaling automated compliance solutions in engineering environments. + Strong program management skills, with the ability to manage multiple priorities in a fast-paced, high-growth environment. + Professional certifications such as CISSP, CISA, or equivalent. Suggested Skills & Technical Experience + Leadership in IT / Systems Technology Compliance & Audit + Technology Risk Assessment & Regulatory Impact Analysis + Technical fluency in Java, SQL, Hadoop, Azure, Kubernetes, and large-scale distributed systems + Financial reporting and revenue compliance in technology contexts + Strong interpersonal, communication, and influencing skills across technical and non-technical stakeholders You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $139,000 - 229,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** **Equal Opportunity Statement** We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: + Documents in alternate formats or read aloud to you + Having interviews in an accessible location + Being accompanied by a service dog + Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **Pay Transparency Policy Statement ** As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** **Global Data Privacy Notice for Job Candidates ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be hybrid in LinkedIn's Mountain View campus. Governance, Risk, Automation, Compliance & Engineering: Trust is our foundation. At LinkedIn, we build secure, compliant infrastructure with integrity woven into every layer. By embedding security, governance, and regulatory alignment into our development lifecycle and business, we don't just protect our members, customers, and employees-we set the standard for trusted technology and operations at scale. Our commitment to our customers and members isn't just a statement; it's engineered into our culture of security and compliance through these foundational pillars: * Proactive Governance & Engineering Alignment * Scaled Lifecycle & Integrated Controls * Assured Ecosystem & Quantified Risk Management Role Summary LinkedIn is seeking a strategic and technical Manager for Engineering Compliance to lead a team focussed on the full lifecycle of building and overseeing compliance across the enterprise. This leadership role will be key to strengthening and scaling LinkedIn's compliance posture through embedding compliance and security into products and engineering systems. The role will focus on various global regulatory frameworks and certifications. Primary focus will be the full compliance lifecycle related to these horizontals: Finance, Completion (e.g. DMA) , Content (e.g. DSA), AI - these include but not limited to: SOX, Non Financial Disclosure Metrics, MRC Certification, AI regulations, Enterprise Risks. Additionally you will also partner closely on: Security, AI Compliance, Infrastructure Risks, Privacy regulatory compliance programs and certifications. You will guide a team of compliance engineers and analysts, and collaborate cross functionally with engineering, product, legal, partner compliance teams, finance, sales and enterprise teams to establish and scale compliance engineering programs across the company. You will be crucial in aligning our engineering compliance strategy with LinkedIn's overarching business objectives, fostering a culture where compliance is integrated seamlessly into system design and engineering practices. Key Responsibilities * Lead & Mentor: * Lead and mentor a high-performing team of risk and compliance engineers. * Foster a culture of trust, inclusion, and technical excellence. * Provide strategic direction, career development, and performance coaching. * Program Ownership: * Partner closely across engineering teams to proactively build compliance as part of system design * Own and deliver regulatory programs, including regulations covering AI regulations and standards, Competition (DMA), Finance (SOX, Non Financial Metrics), Product Certifications (e.g. MRC), Privacy and emerging frameworks. * Lead team to deliver on multiple compliance and regulatory programs - which includes: establishing compliance programs for new regulations or major systems, compliance readiness assessments, audits and certifications. * Strategic Partnership * Collaborate with engineering, product, finance, legal, and security teams for end to end compliance lifecycle from obligation requirements, translation to technical roadmap all the way through controls assurance and reporting * Build partnership with cross functional teams for compliance to help address the risks optimally, and drive planning for compliance across org * Audit & Stakeholder Engagement * Lead the team for pre-audit preparation with engineering owners and stakeholders, drive org wide trainings * Drive engineering compliance collaboration for audits and represent engineering controls and posture during audits, certifications and reviews * Regulatory Monitoring & Impact Analysis * Monitor emerging regulations and translate them into actionable engineering and process changes. * Conduct risk assessments and regulatory impact analyses. * Metrics & Governance * Define and report compliance metrics, risks, and trends. * Participate in governance forums and certification steering committees. * Incident & Remediation Management * Build scalable systems for incident tracking, root cause analysis, remediation planning, and verification. * Ensure sustainable long-term solutions for compliance-related issues. * Training & Enablement * Sponsor and oversee training programs for engineering teams. * Ensure control owners and developers understand their compliance responsibilities. * Drive awareness through onboarding, quarterly reviews, and enablement sessions. Qualifications Basic Qualifications * BA/BS in Computer Science, Engineering, Accounting, or related technical discipline (or equivalent practical experience). * 8+ years of relevant experience in technology compliance, engineering risk, or systems audit. * 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training * 2+ Experience senior level stakeholder management and cross functional collaboration * Experience leading regulatory compliance programs like DMA, SOX, AI and / or related compliance programs * Experience with engineering systems and processes * Experience with compliance domains such as Access Management, Change Management, Ads revenue compliance, Information Security, or related technical control environments. * Experience conducting system design reviews, code reviews, or large-scale compliance assessments. Preferred Qualifications * MS in MIS, MBA, or related advanced degree. * 4+ years of leadership experience managing engineering or compliance teams. * 12+ years of engineering compliance or systems audit experience in the technology sector. * Experience managing compliance programs for regulations such as SOX, MRC, DMA, DSA, AI Governance, and international standards like ISO, SOC, GDPR. * Deep understanding of compliance frameworks, controls, and best practices (SSAE 16 - SOC 1 & 2, PCI, ISO, GDPR, etc.). * Demonstrated success in building and scaling automated compliance solutions in engineering environments. * Strong program management skills, with the ability to manage multiple priorities in a fast-paced, high-growth environment. * Professional certifications such as CISSP, CISA, or equivalent. Suggested Skills & Technical Experience * Leadership in IT / Systems Technology Compliance & Audit * Technology Risk Assessment & Regulatory Impact Analysis * Technical fluency in Java, SQL, Hadoop, Azure, Kubernetes, and large-scale distributed systems * Financial reporting and revenue compliance in technology contexts * Strong interpersonal, communication, and influencing skills across technical and non-technical stakeholders You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $139,000 - 229,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be hybrid in LinkedIn's Mountain View campus. About The Team Governance, Risk, Automation, Compliance & Engineering: Trust is our foundation. At LinkedIn, we build secure, compliant infrastructure with integrity woven into every layer. By embedding security, governance, and regulatory alignment into our development lifecycle and business, we don't just protect our members, customers, and employees-we set the standard for trusted technology and operations at scale. Our commitment to our customers and members isn't just a statement; it's engineered into our culture of security and compliance through these foundational pillars: * Proactive Governance & Engineering Alignment * Scaled Lifecycle & Integrated Controls * Assured Ecosystem & Quantified Risk Management Role Summary LinkedIn is seeking a strategic and technical Manager for Engineering Compliance to lead a team focussed on the full lifecycle of building and overseeing compliance across the enterprise. This leadership role will be key to strengthening and scaling LinkedIn's compliance posture through embedding compliance and security into products and engineering systems. The role will focus on various global regulatory frameworks and certifications. Primary focus will be the full compliance lifecycle related to these horizontals: Security, AI Compliance, Infrastructure Risks, Privacy - these include but not limited to: SOC 2, PCI, ISO, CRA, NIS2. EU AI Act. Additionally you will also partner closely on leading: Content (e.g. DSA), Competition (e.g. DMA), Finance (e.g. SOX) and Enterprise Risk horizontals You will guide a team of compliance engineers and analysts, and collaborate cross functionally with engineering, product, legal, partner compliance teams, finance, sales and enterprise teams to establish and scale compliance engineering programs across the company. You will be crucial in aligning our engineering compliance strategy with LinkedIn's overarching business objectives, fostering a culture where compliance is integrated seamlessly into system design and engineering practices. Key Responsibilities * Lead & Mentor: * Lead and mentor a high-performing team of risk and compliance engineers. * Foster a culture of trust, inclusion, and technical excellence. * Provide strategic direction, career development, and performance coaching. * Program Ownership: * Partner closely across engineering teams to proactively build compliance as part of system design * Own and deliver regulatory programs, including regulations covering AI regulations and standards, Competition (DMA), Finance (SOX, Non Financial Metrics), Product Certifications (e.g. MRC), Privacy and emerging frameworks. * Lead team to deliver on multiple compliance and regulatory programs - which includes: establishing compliance programs for new regulations or major systems, compliance readiness assessments, audits and certifications. * Strategic Partnership * Collaborate with engineering, product, finance, legal, and security teams for end to end compliance lifecycle from obligation requirements, translation to technical roadmap all the way through controls assurance and reporting * Build partnership with cross functional teams for compliance to help address the risks optimally, and drive planning for compliance across org * Audit & Stakeholder Engagement * Lead the team for pre-audit preparation with engineering owners and stakeholders, drive org wide trainings * Drive engineering compliance collaboration for audits and represent engineering controls and posture during audits, certifications and reviews * Regulatory Monitoring & Impact Analysis * Monitor emerging regulations and translate them into actionable engineering and process changes. * Conduct risk assessments and regulatory impact analyses. * Metrics & Governance * Define and report compliance metrics, risks, and trends. * Participate in governance forums and certification steering committees. * Incident & Remediation Management * Build scalable systems for incident tracking, root cause analysis, remediation planning, and verification. * Ensure sustainable long-term solutions for compliance-related issues. * Training & Enablement * Sponsor and oversee training programs for engineering teams. * Ensure control owners and developers understand their compliance responsibilities. * Drive awareness through onboarding, quarterly reviews, and enablement sessions. Qualifications Basic Qualifications * BA/BS in Computer Science, Engineering, Applied Math, or related technical discipline (or equivalent practical experience). * 8+ years of relevant experience in technology compliance, engineering risk, or systems audit. * 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training * 2+ Experience senior level stakeholder management and cross functional collaboration * Experience leading security compliance programs and related certifications like SOC 2, PCI, ISO, BCMS, Privacy * Experience with security, engineering systems and processes * Experience with compliance domains such as Access Management, Change Management, Ads revenue compliance, Information Security, or related technical control environments. * Experience conducting system design reviews, code reviews, or large-scale compliance assessments. Preferred Qualifications * MS in MIS, MBA, or related advanced degree. * 4+ years of leadership experience managing engineering or compliance teams. * 12+ years of engineering compliance or systems audit experience in the technology sector. * Experience managing compliance programs for regulations such as SOX, MRC, DMA, DSA, AI Governance, and international standards like ISO, SOC, GDPR. * Deep understanding of compliance frameworks, controls, and best practices (SSAE 16 - SOC 1 & 2, PCI, ISO, GDPR, etc.). * Demonstrated success in building and scaling automated compliance solutions in engineering environments. * Strong program management skills, with the ability to manage multiple priorities in a fast-paced, high-growth environment. * Professional certifications such as CISSP, CISA, or equivalent. Suggested Skills & Technical Experience * Leadership in IT / Systems Technology Compliance & Audit * Technology Risk Assessment & Regulatory Impact Analysis * Technical fluency in Java, SQL, Hadoop, Azure, Kubernetes, and large-scale distributed systems * Financial reporting and revenue compliance in technology contexts * Strong interpersonal, communication, and influencing skills across technical and non-technical stakeholders You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $139,000 - 229,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description Team Overview: Creating economic opportunity for every member of the global workforce is LinkedIn's core mission. At Talent Marketplace Matching team, we tackle foundational challenges that enable LinkedIn's Talent Solutions ecosystem to fully harness the power of our rich and diverse talent data. We build and evolve LLM and matching systems that enhance LinkedIn's understanding of members, jobs, and skills to improve relevance quality across job products. The team works closely with partner orgs to advance semantic retrieval, generative AI and efficient foundation model adaptation, ensuring that LinkedIn's talent data is leveraged effectively and responsibly to drive long-term business growth. This is a high-visibility team building AI solutions that directly impact millions of members. Location: At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in Sunnyvale, CA. Key Responsibilities: As a senior AI Manager, you will lead a team of applied scientists and engineers to design and deliver scalable LLM and matching solutions that improve the relevance and quality of LinkedIn's Talent Marketplace. You'll combine people leadership, technical vision, and cross-functional collaboration to maximize team impact. Build and grow talent: Attract, mentor, and develop a diverse and high-performing team of applied scientists and engineers. Foster an inclusive culture where people feel empowered to share ideas, take intelligent risks, and grow into technical leaders. Define clear direction: Translate product and business needs into a focused technical roadmap. Connect daily team work to LinkedIn's broader mission and long-term strategic priorities. Advance LLM and matching systems: Guide the team in developing and improving hybrid retrieval systems, and domain-tuned LLM applications. Leverage LinkedIn's unique data to ground model outputs, enhance job matching relevance, and improve end-to-end quality. Ensure scalability and efficiency: Partner with infra and platform teams to optimize retrieval and serving efficiency, including embedding optimization, adaptive caching, and parameter-efficient fine-tuning. Promote alignment and collaboration: Work across teams to identify shared opportunities, align on long-term goals, and drive consistent progress. Proactively address misalignments with clarity and empathy. Foster innovation and inclusion: Create an environment that values curiosity, diverse perspectives, and open dialogue. Encourage the team to challenge assumptions, experiment responsibly, and continuously raise the technical bar. Qualifications Basic Qualifications: 7+ years of relevant professional experience. 3+ years of management experience. Bachelors in Computer Science or other technical discipline, or related practical technical experience Preferred Qualifications: 10+ years of relevant work experience. Prior experience leading teams of 10-20 individuals, including multiple Tech Leads. PhD in Computer Science, Machine Learning, Statistics or related fields Experience leading teams in machine learning, NLP, or retrieval systems. Strong technical background in LLMs, retrieval architectures, and relevance optimization. Familiarity with semantic search, vector databases, or efficient model adaptation. Proven ability to connect technical strategy to business goals and communicate across disciplines. Passion for developing talent and building highly collaborative teams. Additional Information Suggested Skills: Team Management AI System Design (Recommendation, Relevance, and Retrieval) Technical Leadership You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. Compensation: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $198,000 - $326,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description Team Overview: The Hirer AI team is building the LinkedIn Hiring Assistant, which is an AI agent that autonomously finds job candidates and writes messages to them, and is a key initiative for the company. Our team works on a wide range of cutting-edge ML: LLM fine tuning, text generation, LLM-as-a-judge, prompt engineering, embedding-based retrieval, and search ranking. As a part of the Hirer AI team, you will engage with highly experienced and passionate AI Engineers and a brilliant cross functional team to help millions of LinkedIn users connect with the best possible opportunities. Location: At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in Sunnyvale, CA. Key Responsibilities As a senior AI Manager, you will lead a team of applied scientists and engineers to design and deliver scalable LLM and matching solutions that improve the relevance and quality of LinkedIn's Talent Marketplace. You'll combine people leadership, technical vision, and cross-functional collaboration to maximize team impact. Build and grow talent: Attract, mentor, and develop a diverse and high-performing team of applied scientists and engineers. Foster an inclusive culture where people feel empowered to share ideas, take intelligent risks, and grow into technical leaders. Define clear direction: Translate product and business needs into a focused technical roadmap. Connect daily team work to LinkedIn's broader mission and long-term strategic priorities. Advance LLM and matching systems: Guide the team in developing and improving hybrid retrieval systems, and domain-tuned LLM applications. Leverage LinkedIn's unique data to ground model outputs, enhance job matching relevance, and improve end-to-end quality. Ensure scalability and efficiency: Partner with infra and platform teams to optimize retrieval and serving efficiency, including embedding optimization, adaptive caching, and parameter-efficient fine-tuning. Promote alignment and collaboration: Work across teams to identify shared opportunities, align on long-term goals, and drive consistent progress. Proactively address misalignments with clarity and empathy. Foster innovation and inclusion: Create an environment that values curiosity, diverse perspectives, and open dialogue. Encourage the team to challenge assumptions, experiment responsibly, and continuously raise the technical bar. Qualifications Basic Qualifications: 3+ years of management experience, leading team(s) of direct reports. 7+ years of relevant professional experience in AI/ML Engineering and/or leadership of AI/ML Engineering teams. Bachelors in Computer Science or other technical discipline, or related practical technical experience Preferred Qualifications 10+ years of relevant professional experience in AI, Machine Learning, or a related field. Prior experience leading teams of 15-20+ individuals, including multiple Tech Leads. PhD in Computer Science, Machine Learning, Statistics or related fields Experience leading teams in machine learning, NLP, or retrieval systems. Strong technical background in LLMs, retrieval architectures, and relevance optimization. Familiarity with semantic search, vector databases, or efficient model adaptation. Proven ability to connect technical strategy to business goals and communicate across disciplines. Passion for developing talent and building highly collaborative teams. Suggested Skills: Team Management AI System Design (Recommendation, Relevance, and Retrieval) Technical Leadership You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. Compensation: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $198,000 - $326,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description Data Center Engineering is the process of designing, building, and maintaining data centers, which are facilities used to house and manage critical IT infrastructure, applications, and data. Data center engineers ensure the data center infrastructure's stability, reliability, and security. They are crucial in supporting the availability and performance of applications and services. This involves the design, construction, and maintenance of the physical infrastructure of a data center, including electrical and mechanical systems. The Senior Manager of Data Center Design and Construction will lead a team of engineers to design, build, and maintain world-class data centers. This role involves managing the entire project lifecycle from initiation to turnover and closeout, ensuring that projects are completed on time, within budget, and to the highest quality standards. The ideal candidate will have extensive experience in data center design, construction, and operations, with a strong focus on project management and customer satisfaction. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is on-site, meaning it will be performed in the specified office on a full-time basis due to the business needs of the team. This role will can be based in one of our data center locations: Santa Clara (CA), Hillsboro (OR), Richardson (TX), Manassas (VA). Responsibilities: Lead the design and construction of data center projects, ensuring alignment with business objectives and customer requirements. Manage the end-to-end project lifecycle, including planning, design, construction, commissioning, and handover. Collaborate with cross-functional teams, including IT, operations, and customer service, to ensure seamless project execution. Develop and lead a team of field engineers to maintain data center SLAs and provider maintenance schedules. Develop and maintain project schedules, budgets, and resource plans. Ensure compliance with industry standards, regulations, and best practices. Identify and mitigate project risks, resolving issues promptly to keep projects on track. Foster a culture of continuous improvement, innovation, and excellence within the team. Provide leadership, mentorship, and professional development opportunities for team members. Lead innovative design techniques to enhance data center efficiency and performance. Manage and coordinate the efforts of electrical and mechanical engineers to ensure the successful integration of all systems. Oversee the implementation of cutting-edge technologies and best practices in data center design and operations. Create, refine, and maintain a comprehensive turnover checklist for the operations team for data center suite handovers. Take part in data center strategy planning, cost analysis, and provider business reviews. Develop and lead liquid cooling deployments in the data center. Qualifications Basic Qualifications: B.S./B.A. in Engineering, Computer Science, or a related technical field. 10+ years of experience in data center design, construction, and operations. 2+ years experience managing large-scale data center projects. 2+ years of project management and leadership skills. Experience with data center infrastructure, including power, cooling, and connectivity systems. Ability to work effectively in a fast-paced, dynamic environment. Risk Management: Ability to identify potential risks and develop effective mitigation strategies. Vendor Management: Experience in selecting, negotiating, and managing contracts with vendors and contractors. Regulatory Compliance: Knowledge of relevant regulations and industry standards. Communication: verbal and written communication skills for effective stakeholder engagement. Preferred Qualifications: Masters Degree in Mechanical Engineering, Materials Engineering, Reliability Engineering, Electrical Engineering, or related field AND 2+ years technical project management, program management, mission-critical electrical infrastructure. 12+ years in direct data center construction experience at a data center provider or constructor. Experience in management, engineering, or operations of hyperscale datacenter critical environments. Experience in AutoCad and/or Revit as well as implementation or maintenance of DCIM applications. Ability to manage, prioritize and successfully execute multiple concurrent mission-critical projects and communicate effectively to drive standards and consensus across multiple levels of the organization. Experience in Liquid cooling (DLC) design and deployment. Suggested Skills: Data Center Design and Construction Critical Infrastructure Project Management You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. Compensation: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $155,000 to $257,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description Data Center Engineering is the process of designing, building, and maintaining data centers, which are facilities used to house and manage critical IT infrastructure, applications, and data. Data center engineers ensure the data center infrastructure's stability, reliability, and security. They are crucial in supporting the availability and performance of applications and services. This involves the design, construction, operations, and maintenance of the physical infrastructure of a data center, including server, switching, and associated hardware. The Senior Manager of Data Center Operations will lead a team of engineers to maintain the operational health, reliability, and hardware lifecycle management across LinkedIn's data center environment. This leader will own day‑to‑day operations, technician workflows, incident response, vendor execution, and standards that ensure our data centers deliver industry‑leading uptime and performance. A successful candidate will oversee teams responsible for hardware deployment, break/fix, server installation, cabling, staging, audits, preventive maintenance, and on‑site operational excellence. This leader will also drive KPI‑based improvements, operational consistency across sites, and scalable processes that support accelerating compute demand. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will can be based in one of our data center locations: Santa Clara (CA), Hillsboro (OR), Richardson (TX), Manassas (VA). Responsibilities: Own 24x7 operational reliability, infrastructure uptime, and incident management across assigned data center regions. Lead onsite operations teams overseeing hardware repair, deployment, installation, decommissioning, and preventive maintenance. Ensure all activities maintain compliance with safety protocols, operational standards, and risk mitigation procedures. Build and enforce operational runbooks, staffing plans, playbooks, and escalation paths to minimize MTTR and maximize SLA adherence. Manage the end-to-end project lifecycle, including planning, design, construction, commissioning, and handover. Develop, refine, and enforce standardized operating procedures across multiple data center locations. Use KPIs (availability, SLA adherence, backlog burn‑down, staffing coverage, MTTR, audit pass rates) to drive operational performance. Coordinate global compliance efforts for SOX, SOC2, ISO 27001, safety audits, and quality inspections. Lead cross‑functional collaboration with Engineering, Network, SRE, Security, and Program Management to ensure smooth execution of maintenance and install windows. Manage on‑site vendors and contingent workforce responsible for staffing, installs, cabling, and break/fix operations. Own performance management of vendor SLAs, quality, safety, and productivity metrics. Build strong relationships with OEMs, service providers, and cross‑functional internal stakeholders. Lead, mentor, and grow a high-performance team of data center technicians, supervisors, and operations leads. Create a culture of accountability, safety, operational rigor, and continuous improvement. Invest in training programs, career development pathways, and skill certification for the operations workforce. Collaborate with cross-functional teams, including hardware, networking, security, operations, and customer service, to ensure seamless operational functionality. Ensure compliance with industry standards, regulations, and best practices. Identify and mitigate project risks, resolving issues promptly to keep projects on track. Foster a culture of continuous improvement, innovation, and excellence within the team. Oversee the implementation of cutting-edge technologies and best practices in data center design and operations. Take part in data center strategy planning, cost analysis, and provider business reviews. Improve resiliency through preventive maintenance programs, early warning indicators, and cross‑team drills. Qualifications Basic Qualifications: 10+ years of experience in data center operations, hardware deployment, service management, or critical infrastructure operations. 4+ years managing teams in a colocation, enterprise, or hyperscale data center environment. Experience with server hardware, diagnostics, cabling, racking/stacking, airflow management, and physical infrastructure operations. Proven ability to lead technicians and vendors in a 24x7 environment with strict uptime requirements. Experience with compliance frameworks (SOX, SOC2, ISO 27001), safety protocols, and operational audits. B.S./B.A. in Engineering, Computer Science, or a related technical field. Experience with data center infrastructure, including power, cooling, and connectivity systems. Ability to work effectively in a fast-paced, dynamic environment. Risk Management: Ability to identify potential risks and develop effective mitigation strategies. Vendor Management: Experience in selecting, negotiating, and managing contracts with vendors and contractors. Regulatory Compliance: Knowledge of relevant regulations and industry standards. Communication Skills: verbal and written communication skills for effective stakeholder engagement. Preferred Qualifications: Masters Degree in Mechanical Engineering, Materials Engineering, Reliability Engineering, Electrical Engineering, or related field AND 2+ years technical project management, program management, mission-critical electrical infrastructure.Experience managing operations across multiple data center regions. Familiarity with high‑density compute, liquid cooling environments, and modern deployment automation workflows. Demonstrated ability to drive KPI‑driven operational improvements and standardization across sites. Certification(s) such as CDCP/CDCS/CDCE, ITIL, BICSI, or equivalent operational credentials. Ability to manage, prioritize and successfully execute multiple concurrent mission-critical projects and communicate effectively to drive standards and consensus across multiple levels of the organization. Experience in Liquid cooling (DLC) deployment and operations. Suggested Skills: Data Center operations Vendor/contractor management Data Center maintenance excellence Critical Infrastructure Project Management You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $155,000 to $257,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Data Center Engineering is the process of designing, building, and maintaining data centers, which are facilities used to house and manage critical IT infrastructure, applications, and data. Data center engineers ensure the data center infrastructure's stability, reliability, and security. They are crucial in supporting the availability and performance of applications and services. This involves the design, construction, operations, and maintenance of the physical infrastructure of a data center, including server, switching, and associated hardware. The Senior Manager of Data Center Operations will lead a team of engineers to maintain the operational health, reliability, and hardware lifecycle management across LinkedIn's data center environment. This leader will own day‑to‑day operations, technician workflows, incident response, vendor execution, and standards that ensure our data centers deliver industry‑leading uptime and performance. A successful candidate will oversee teams responsible for hardware deployment, break/fix, server installation, cabling, staging, audits, preventive maintenance, and on‑site operational excellence. This leader will also drive KPI‑based improvements, operational consistency across sites, and scalable processes that support accelerating compute demand. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will can be based in one of our data center locations: Santa Clara (CA), Hillsboro (OR), Richardson (TX), Manassas (VA). Responsibilities: + Own 24x7 operational reliability, infrastructure uptime, and incident management across assigned data center regions. + Lead onsite operations teams overseeing hardware repair, deployment, installation, decommissioning, and preventive maintenance. + Ensure all activities maintain compliance with safety protocols, operational standards, and risk mitigation procedures. + Build and enforce operational runbooks, staffing plans, playbooks, and escalation paths to minimize MTTR and maximize SLA adherence. + Manage the end-to-end project lifecycle, including planning, design, construction, commissioning, and handover. + Develop, refine, and enforce standardized operating procedures across multiple data center locations. + Use KPIs (availability, SLA adherence, backlog burn‑down, staffing coverage, MTTR, audit pass rates) to drive operational performance. + Coordinate global compliance efforts for SOX, SOC2, ISO 27001, safety audits, and quality inspections. + Lead cross‑functional collaboration with Engineering, Network, SRE, Security, and Program Management to ensure smooth execution of maintenance and install windows. + Manage on‑site vendors and contingent workforce responsible for staffing, installs, cabling, and break/fix operations. + Own performance management of vendor SLAs, quality, safety, and productivity metrics. + Build strong relationships with OEMs, service providers, and cross‑functional internal stakeholders. + Lead, mentor, and grow a high-performance team of data center technicians, supervisors, and operations leads. + Create a culture of accountability, safety, operational rigor, and continuous improvement. + Invest in training programs, career development pathways, and skill certification for the operations workforce. + Collaborate with cross-functional teams, including hardware, networking, security, operations, and customer service, to ensure seamless operational functionality. + Ensure compliance with industry standards, regulations, and best practices. + Identify and mitigate project risks, resolving issues promptly to keep projects on track. + Foster a culture of continuous improvement, innovation, and excellence within the team. + Oversee the implementation of cutting-edge technologies and best practices in data center design and operations. + Take part in data center strategy planning, cost analysis, and provider business reviews. + Improve resiliency through preventive maintenance programs, early warning indicators, and cross‑team drills. Basic Qualifications: + 10+ years of experience in data center operations, hardware deployment, service management, or critical infrastructure operations. + 4+ years managing teams in a colocation, enterprise, or hyperscale data center environment. + Experience with server hardware, diagnostics, cabling, racking/stacking, airflow management, and physical infrastructure operations. + Proven ability to lead technicians and vendors in a 24x7 environment with strict uptime requirements. + Experience with compliance frameworks (SOX, SOC2, ISO 27001), safety protocols, and operational audits. + B.S./B.A. in Engineering, Computer Science, or a related technical field. + Experience with data center infrastructure, including power, cooling, and connectivity systems. + Ability to work effectively in a fast-paced, dynamic environment. + Risk Management: Ability to identify potential risks and develop effective mitigation strategies. + Vendor Management: Experience in selecting, negotiating, and managing contracts with vendors and contractors. + Regulatory Compliance: Knowledge of relevant regulations and industry standards. + Communication Skills: verbal and written communication skills for effective stakeholder engagement. Preferred Qualifications: + Masters Degree in Mechanical Engineering, Materials Engineering, Reliability Engineering, Electrical Engineering, or related field AND 2+ years technical project management, program management, mission-critical electrical infrastructure.Experience managing operations across multiple data center regions. + Familiarity with high‑density compute, liquid cooling environments, and modern deployment automation workflows. + Demonstrated ability to drive KPI‑driven operational improvements and standardization across sites. + Certification(s) such as CDCP/CDCS/CDCE, ITIL, BICSI, or equivalent operational credentials. + Ability to manage, prioritize and successfully execute multiple concurrent mission-critical projects and communicate effectively to drive standards and consensus across multiple levels of the organization. + Experience in Liquid cooling (DLC) deployment and operations. Suggested Skills: + Data Center operations + Vendor/contractor management + Data Center maintenance excellence + Critical Infrastructure + Project Management You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $155,000 to $257,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** **Equal Opportunity Statement** We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: + Documents in alternate formats or read aloud to you + Having interviews in an accessible location + Being accompanied by a service dog + Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **Pay Transparency Policy Statement ** As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** **Global Data Privacy Notice for Job Candidates ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************