Engineering Program Manager jobs at Equinix

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. Job Description This role can be based in Mountain View, CA. 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. We're looking for an individual that thrives on making organizations more effective by scaling excellence. Working within the Engineering team and reporting to the Infra Operations Lead, this role would have a detailed purview into key priorities and project manage multiple initiatives aimed to drive operational excellence and Engineering culture across a 1800+ person organization. The ideal candidate is passionate about designing, operationalizing, and executing projects and programs that help the organization run more effectively. If you have a track record of delivering through strong relationships and exceptional communication, love diving into data for insights, building and championing culture, and achieving results, then this role is for you. Responsibilities: Drive strategic and operational initiatives to advance long-term organizational excellence and alignment * Automation, Analytics and insights: Leverage data, dashboards, automation, and AI tools to drive operational insights by building and maintaining reporting systems that provide transparency into org health, surface trends, and enable faster, more informed decision-making * Workforce Management Ops: Support workforce management by tracking headcount, monitoring backfill needs, and partnering with Talent, HR, and Finance teams to ensure staffing aligns with business priorities and operational demands * Budget Ops: Operationalize budget tracking across the organization. * Talent Ops: Partner with Talent Acquisition to plan and execute hiring events, sourcing initiatives, and recruiting touchpoints that strengthen the pipeline of technical and operational talent. Design and execute onboarding and talent development programs * Knowledge Management & Training Enablement: Drive & maintain an accurate, up-to-date internal knowledge ecosystem while ensuring documentation, training materials, and resource hubs are consistently refreshed, accessible, and aligned with evolving team priorities * Culture & Engagement: Plan and execute culture and engagement initiatives to strengthen community, drive participation, and foster a connected organizational culture * Processes & Best Practices: Create, document, and maintain organizational best practices, playbooks, and process resources to drive consistency, operational efficiency, and scalable execution across the org * Rhythm of Business Operations: Support ROB processes including quarterly planning, OKRs, leadership meetings, and business reviews to maintain focus, clarity, and operational discipline Qualifications Basic Qualifications * Bachelor's degree or equivalent practical experience * 2+ years of management consulting, business strategy, operations, or project/program management experience * 2+ years of experience analyzing data, generating insights, and supporting decision-making using spreadsheets or dashboards * 2+ years of experience managing multiple projects and collaborating across teams Preferred Qualifications * Proficiency with productivity tools, including Outlook, Excel/Sheets, PowerPoint/Slides, SharePoint, and GSuite * Proficiency with spreadsheets, including pivot tables and advanced formulas; familiarity with macros or App Script is a plus * Experience supporting leaders or cross-functional teams in a fast-paced work environment * Ability to manage time-sensitive tasks, stay organized, and balance multiple priorities with attention to detail * Strong written and verbal communication skills, with the ability to clearly summarize information and share updates * Collaborative working style, with strong interpersonal skills and a willingness to partner closely with different teams * Proactive problem-solving mindset, with the ability to take initiative and identify process improvements * Comfort learning new tools and systems quickly, especially documentation, reporting, and workflow tools * Experience with dashboards or reporting tools (e.g., Tableau, Looker, internal tools) is helpful but not required * Ability to use AI to improve processes Suggested Skills * Project/Program Management * Core Analytical & Operational Skills * Communication & Collaboration * Strategic & Critical Thinking * Very comfortable slicing and dicing data from various sources of truth 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 $93,000 to $152,000. 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 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 worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. Job Description This role can be based in Mountain View, CA. 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. We're looking for an individual that thrives on making organizations more effective by scaling excellence. Working within the Engineering team and reporting to the Infra Operations Lead, this role would have a detailed purview into key priorities and project manage multiple initiatives aimed to drive operational excellence and Engineering culture across a 1800+ person organization. The ideal candidate is passionate about designing, operationalizing, and executing projects and programs that help the organization run more effectively. If you have a track record of delivering through strong relationships and exceptional communication, love diving into data for insights, building and championing culture, and achieving results, then this role is for you. Responsibilities: Drive strategic and operational initiatives to advance long-term organizational excellence and alignment • Automation, Analytics and insights: Leverage data, dashboards, automation, and AI tools to drive operational insights by building and maintaining reporting systems that provide transparency into org health, surface trends, and enable faster, more informed decision-making • Workforce Management Ops: Support workforce management by tracking headcount, monitoring backfill needs, and partnering with Talent, HR, and Finance teams to ensure staffing aligns with business priorities and operational demands • Budget Ops : Operationalize budget tracking across the organization. • Talent Ops : Partner with Talent Acquisition to plan and execute hiring events, sourcing initiatives, and recruiting touchpoints that strengthen the pipeline of technical and operational talent. Design and execute onboarding and talent development programs • Knowledge Management & Training Enablement: Drive & maintain an accurate, up-to-date internal knowledge ecosystem while ensuring documentation, training materials, and resource hubs are consistently refreshed, accessible, and aligned with evolving team priorities • Culture & Engagement: Plan and execute culture and engagement initiatives to strengthen community, drive participation, and foster a connected organizational culture • Processes & Best Practices: Create, document, and maintain organizational best practices, playbooks, and process resources to drive consistency, operational efficiency, and scalable execution across the org • Rhythm of Business Operations: Support ROB processes including quarterly planning, OKRs, leadership meetings, and business reviews to maintain focus, clarity, and operational discipline Qualifications Basic Qualifications • Bachelor's degree or equivalent practical experience • 2+ years of management consulting, business strategy, operations, or project/program management experience • 2+ years of experience analyzing data, generating insights, and supporting decision-making using spreadsheets or dashboards • 2+ years of experience managing multiple projects and collaborating across teams Preferred Qualifications • Proficiency with productivity tools, including Outlook, Excel/Sheets, PowerPoint/Slides, SharePoint, and GSuite • Proficiency with spreadsheets, including pivot tables and advanced formulas; familiarity with macros or App Script is a plus • Experience supporting leaders or cross-functional teams in a fast-paced work environment • Ability to manage time-sensitive tasks, stay organized, and balance multiple priorities with attention to detail • Strong written and verbal communication skills, with the ability to clearly summarize information and share updates • Collaborative working style, with strong interpersonal skills and a willingness to partner closely with different teams • Proactive problem-solving mindset, with the ability to take initiative and identify process improvements • Comfort learning new tools and systems quickly, especially documentation, reporting, and workflow tools • Experience with dashboards or reporting tools (e.g., Tableau, Looker, internal tools) is helpful but not required • Ability to use AI to improve processes Suggested Skills Project/Program Management Core Analytical & Operational Skills Communication & Collaboration Strategic & Critical Thinking Very comfortable slicing and dicing data from various sources of truth 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 $93,000 to $152,000. 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 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 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 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 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 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. **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 [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 worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. 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. This role may be remote or hybrid. At LinkedIn, hybrid roles are performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn's AI and Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation. As an AI Engineering Senior Manager at LinkedIn Ads you will be responsible for leading a team of Software Engineers that build and own algorithms, models, and systems that power our LinkedIn ad tech platform. We are looking to experiment with GenAI to build new ad-creative variations which can yield better ROI for our advertisers. Responsibilities * Develop a strategy for a new technical foundation based on using AI/LLMs to innovate in ad formats. * Design a technical solution that enables the organization to A/B test new ad formats and placements quickly and iterate. * Evangelize the use of LLMs and AI in software development in the broader organization. * Collaborate with Media, Video and Events teams on generating new clips and ad variations to test as ads. * Attract world class talent and provide technical guidance, career development, and mentoring to team members. Qualifications Basic Qualifications * Masters in Computer Science or related technical field or equivalent technical experience * 7+ years of industry experience including * 3+ years people management experience Preferred Qualifications: * 12+ years of relevant work experience * PhD in Computer Science, Machine Learning, Statistics or related fields * Strong academic credentials with publications in top-tier journals and conferences * Experience with search engine, information extraction, knowledge graph, natural language processing, computer vision techniques 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 $191,000-$315,000. 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 worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. This role may be remote or hybrid. At LinkedIn, hybrid roles are performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn's AI and Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation. As an AI Engineering Senior Manager at LinkedIn Ads you will be responsible for leading a team of Software Engineers that build and own algorithms, models, and systems that power our LinkedIn ad tech platform. We are looking to experiment with GenAI to build new ad-creative variations which can yield better ROI for our advertisers. Responsibilities + Develop a strategy for a new technical foundation based on using AI/LLMs to innovate in ad formats. + Design a technical solution that enables the organization to A/B test new ad formats and placements quickly and iterate. + Evangelize the use of LLMs and AI in software development in the broader organization. + Collaborate with Media, Video and Events teams on generating new clips and ad variations to test as ads. + Attract world class talent and provide technical guidance, career development, and mentoring to team members. Basic Qualifications + Masters in Computer Science or related technical field or equivalent technical experience + 7+ years of industry experience including + 3+ years people management experience Preferred Qualifications: + 12+ years of relevant work experience + PhD in Computer Science, Machine Learning, Statistics or related fields + Strong academic credentials with publications in top-tier journals and conferences + Experience with search engine, information extraction, knowledge graph, natural language processing, computer vision techniques 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 $191,000-$315,000. 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 worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. 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. We are seeking an exceptional Director of Engineering to lead the Flagship Search organization at LinkedIn. This is a rare opportunity to drive the technical and organizational vision behind the next generation of search products, transforming how millions of professionals discover connections, knowledge, and opportunities. As the engineering leader for Search, you will oversee a team responsible for designing and implementing state-of-the-art search technology stack, building intuitive, personalized, and scalable search experiences. You will lead the integration of cutting-edge AI/ML techniques and large language models (LLMs) into our relevance, retrieval, and ranking systems. In addition to deep technical expertise, this role requires strong people leadership, operational excellence, and the ability to partner closely with Product, AI, Infrastructure, and other cross-functional leaders to deliver business impact at scale. Responsibilities * Lead the Search Organization: Manage and grow a high-performing engineering team to execute on an ambitious product and technical roadmap. * Set Technical Vision: Shape the future of LinkedIn Search by combining AI, LLMs, and systems innovation to deliver highly relevant and personalized member experiences. * Architect for Scale: Guide the team in building scalable, high-availability infrastructure to handle billions of queries reliably and efficiently. * Drive Product Strategy: Partner closely with product, design, and AI teams to align technical investments with member and business needs. * Foster a High-Performance Culture: Champion engineering best practices, quality, operational rigor, and innovation across the team. * Talent Development: Recruit, mentor, and grow top engineering talent, fostering an inclusive environment where individuals can do their best work. * Cross-Functional Leadership: Influence and collaborate across multiple teams and stakeholders to drive complex, high-impact initiatives forward. * Stay Ahead of Trends: Monitor emerging technologies and industry trends to ensure LinkedIn Search remains an industry leader. Qualifications Basic Qualifications * 10+ years of experience building AI-powered consumer products at scale, with at least 5 years in engineering leadership roles. * Bachelors degree in a quantitative field - Computer Science, Operational Research, Statistics, Economics or related fields * Proven experience leading and scaling engineering teams to deliver consumer-facing search products. * Technical foundation in relevance algorithms, retrieval systems, personalization, and search infrastructure. Preferred Qualifications * Hands-on experience integrating AI/ML and large language models into production search systems. * Track record of influencing technical and product strategy at an organizational level. * Deep understanding of building robust, scalable systems to handle high-velocity, large-scale data and query loads. * Strong leadership and people development skills, with a passion for building inclusive, high-performing teams. * Ability to thrive in ambiguous, high-stakes environments and drive clarity and execution across complex initiatives. Suggested Skills * People Leadership * Search experience * AI/ML experience 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 $218,000 to $357,000. 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 worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. 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. We are seeking an exceptional Director of Engineering to lead the Flagship Search organization at LinkedIn. This is a rare opportunity to drive the technical and organizational vision behind the next generation of search products, transforming how millions of professionals discover connections, knowledge, and opportunities. As the engineering leader for Search, you will oversee a team responsible for designing and implementing state-of-the-art search technology stack, building intuitive, personalized, and scalable search experiences. You will lead the integration of cutting-edge AI/ML techniques and large language models (LLMs) into our relevance, retrieval, and ranking systems. In addition to deep technical expertise, this role requires strong people leadership, operational excellence, and the ability to partner closely with Product, AI, Infrastructure, and other cross-functional leaders to deliver business impact at scale. Responsibilities + Lead the Search Organization: Manage and grow a high-performing engineering team to execute on an ambitious product and technical roadmap. + Set Technical Vision: Shape the future of LinkedIn Search by combining AI, LLMs, and systems innovation to deliver highly relevant and personalized member experiences. + Architect for Scale: Guide the team in building scalable, high-availability infrastructure to handle billions of queries reliably and efficiently. + Drive Product Strategy: Partner closely with product, design, and AI teams to align technical investments with member and business needs. + Foster a High-Performance Culture: Champion engineering best practices, quality, operational rigor, and innovation across the team. + Talent Development: Recruit, mentor, and grow top engineering talent, fostering an inclusive environment where individuals can do their best work. + Cross-Functional Leadership: Influence and collaborate across multiple teams and stakeholders to drive complex, high-impact initiatives forward. + Stay Ahead of Trends: Monitor emerging technologies and industry trends to ensure LinkedIn Search remains an industry leader. Basic Qualifications + 10+ years of experience building AI-powered consumer products at scale, with at least 5 years in engineering leadership roles. + Bachelors degree in a quantitative field - Computer Science, Operational Research, Statistics, Economics or related fields + Proven experience leading and scaling engineering teams to deliver consumer-facing search products. + Technical foundation in relevance algorithms, retrieval systems, personalization, and search infrastructure. Preferred Qualifications + Hands-on experience integrating AI/ML and large language models into production search systems. + Track record of influencing technical and product strategy at an organizational level. + Deep understanding of building robust, scalable systems to handle high-velocity, large-scale data and query loads. + Strong leadership and people development skills, with a passion for building inclusive, high-performing teams. + Ability to thrive in ambiguous, high-stakes environments and drive clarity and execution across complex initiatives. Suggested Skills + People Leadership + Search experience + AI/ML experience 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 $218,000 to $357,000. 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 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. 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. 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. 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 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 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: ********************************************

As a Business Program Manager, he or she will manage the life cycle of products, services, and/or processes that deliver value to customers while meeting overall business requirements. The responsibility extends to driving and achieving business & financial results for the products/programs. Responsibilities include developing and executing system- and solution-level program plans and working cross-functionally to deliver products and services to meet or exceed customers' needs. The Business Program Manager will focus on managing programs and/or products through the coordination of various internal/external functional groups. This requires confidence in implementing complex project schedules and meeting deadlines and deliverables within a structured Time to Market process. Ultimately, the Business Program Manager will be the end-to-end owner of the business account he or she manages. Essential Functions Performs initial pricing and monthly quotation updates Conducts Strategies and Solutions Planning Design Business and Marketing Strategies Develops Customer and Partner Relationship and/or Sponsorship Performs Technology and Market trend Analysis Understands manufacturing processes and requirements for cost analysis Communicates and resolves issues between factories and customers Develops new business opportunities Exercises overall ownership of the managed accounts. Be the bridge among customers and Factory, R&D, Support, Suppliers, etc. Oversee production/delivery schedules to meet customer requirements Manages the cost and prices of parts and the whole unit Consider customers' needs in the development of products/solutions Perform other duties as assigned Required Qualifications Bachelor's degree in engineering, business management, information technology, marketing, or a related field 3-5 years of professional experience in project management, engineering, business, or technical field Must be able to travel 3-4 times a year for 3-4 weeks at a time to Mexico/Asia Excellent reading, writing, and verbal skills in English and Mandarin Chinese Proficient in MS Office, including Excel, Word, PowerPoint, Outlook Sales and business development experience Understands technology trends Detail-oriented with superb time management, organizational, and execution skills to meet deadlines. Able to multitask in a fast-paced environment. Proactive professional with a lot of patience High level of flexibility, discretion, professionalism, and integrity Ability to demonstrate critical thinking and decision-making skills Excellent written and verbal communication skills, listening, and interpersonal skills Proven ability to work both collaboratively on a team as well as independently on multiple high-priority projects Preferred Qualifications MS or MBA degree Disclaimer: This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Experience: Program management: 3 years (Preferred) Business analysis: 3 years (Preferred) Manufacturing: 3 years (Preferred) Language: Chinese (Preferred) Spanish (Preferred)

As a Junior Business Program Manager, you will support the life cycle of products and services that deliver value to customers. During this time, you will learn how to develop system- and solution-level program plans and work cross-functionally to deliver products and services. Additionally, you will learn how to implement project schedules, meet deadlines, and provide deliverables within a structured Time to Market process. Essential Functions Gather cost information Develop a deep understanding of various costing models Validate basic quotes coming from our factories Deep dive quotes ensuring cost parity for like components or sub-assemblies Implement new cost initiatives as needed Assist accounting in loading the customer's cost tool Develop an understanding of deals and methods to close deals Create a collaborative, high-performing, productive team culture in project teams Develop an understanding of new service offerings from concept through delivery, such as understanding project dependencies and ensuring execution against project plans Develop business cases and define financial targets for each product Perform other duties as assigned Required Qualifications Education, Experience, and Training Bachelor's degree in engineering, business management, information technology, marketing, or a related field. Knowledge and Skills Excellent written and verbal communication in English and Mandarin Chinese, interpersonal skills. Proven ability to work both collaboratively and independently on multiple high-priority projects. Ability to demonstrate critical thinking and decision-making skills. Must be detail-oriented, have superb time management, organizational, and executional skills to meet deadlines. Ability to multitask in a fast-paced environment. Proficient in MS Office, including Excel, Word, PowerPoint, and Outlook. Other Requirements Must be able to travel 3-4 times a year for 3-4 weeks at a time to Mexico/Asia. The candidate should have a high level of flexibility, discretion, professionalism, and integrity, be proactive and professional with a lot of patience, and understand technology trends. Preferred Qualifications Sales and business development experience. Disclaimer: This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Education: · Bachelor's (Required) Experience: · Business management: 1 year (Required) Language: . Chinese (Preferred)