Engineering Services Manager jobs at Reddit

Since 1995, Red Oak Technologies has been a trusted partner in the tech industry, delivering innovative talent solutions that drive progress. We specialize in quickly acquiring and efficiently matching top-tier professional talent with clients in immediate need of highly skilled contract, permanent or project management based resources. “NOTE: If selected for this position, you are required to perform ALL work onsite, based on the client's specified hybrid work schedule (currently onsite 3 days a week: Tuesday, Wednesday and Thursday).” Engineering Project Manager Culver City, CA 12 months + possible ext Job details: We are seeking a highly motivated and experienced Engineering Project Manager to join our dynamic team. Responsibilities: Technical Liaison: Serve as the primary point of contact between business, product, and engineering teams. Understand and interpret business requirements, translate them into actionable engineering tasks, and communicate technical details, options, and limitations back to product and business stakeholders in a clear and concise manner. Project Management: Independently manage complex, cross-functional engineering projects with tight deadlines, ensuring projects are delivered on time, within budget, and to the required quality standards. Communication & Collaboration: Facilitate effective communication and collaboration between cross-functional teams, including product management, engineering, QA, and operations. Risk Management: Identify, assess, and mitigate potential risks and issues that could impact project timelines or deliverables. Resource Management: Work with technical leads to ensure appropriate resource allocation for projects. Documentation: Maintain accurate and up-to-date project documentation, including project plans, status reports, and meeting minutes. Stakeholder Management: Effectively manage stakeholder expectations and communicate project status updates on a regular basis. Time Zone Management: Effectively manage and coordinate with engineering teams located in different time zones, ensuring efficient workflow and communication. Decision Making: Help the teams make informed decisions based on technical understanding, business priorities, and project requirements. SDLC Process Improvement: Help define, implement, and continuously improve our SDLC processes, ensuring efficiency, transparency, and Collaboration.

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco, San Jose or upcoming Bellevue office location 4 days per week; Lambda's designated work from home day is currently Tuesday. The Lambda Core Services team builds and operates release engineering, cloud automation, and workflow systems for our AI cloud product suite. We provide CI/CD tooling and artifact management to support the build/deploy process for our services. We also automate configuration of our AWS and other SaaS resources and manage AWS usage for all of Lambda engineering. Keeping the internal product and engineering teams moving quickly and delivering quality is what makes us tick. Along with the Platform Engineering organization, we help to build the foundations that unlock product excellence and a highly reliable experience for our customers. About the Role: We are seeking a seasoned Engineering Manager with deep experience in both release engineering and the management of large-scale cloud deployments. You will hire and guide a team of platform engineers in building out critical pillars of our stack. You will lead the team in designing, deploying, scaling, and supporting these solutions. Your role is not just to manage people, but to coordinate the delivery of platform solutions to engineering customers within Lambda. This is a unique opportunity to work at the intersection of platform engineering and the rapidly evolving field of AI infrastructure. What You'll Do Team Leadership & Management: Grow/Hire, lead, and mentor a team of high-performing platform engineers and SREs. Foster a culture of technical excellence, collaboration, and customer service. Conduct regular one-on-one meetings, provide constructive feedback, and support career development for team members. Drive outcomes by managing project priorities, deadlines, and deliverables. Technical Strategy & Execution: Work with the engineering team to drive strategy for internal CI/CD and Cloud services. Develop self-service abstractions to make our platform tooling easier to adopt and use. Lead the broader engineering organization in best-practices adoption of CI/CD, Workflow, and Cloud services. Manage costs of both vendors and internally developed platforms. Lead team in the continued development of our existing CI/CD solutions based on Buildkite and Github Actions. Lead team in the expansion of our Terraform / Atlantis infrastructure automation platform. Guide Lambda engineering in utilization of AWS services in line with our technical standards. Guide team in problem identification, requirements gathering, solution ideation, and stakeholder alignment on engineering RFCs. Identify gaps in our platform engineering posture and drive resolution. Lead the team in supporting our internal customers from across Lambda engineering. Cross-Functional Collaboration: Work closely with Lambda product engineering teams on requirements and planning to meet their needs. Work to understand the needs of engineering teams and drive our Platform solutions towards self-service. Manage a short list of vendors that provide SaaS solutions used at Lambda. You Experience: 7+ years of experience in either Release Engineering or Platform Engineering with at least 3 years in a management or lead role. Demonstrated experience leading a team of engineers and SREs on complex, cross-functional projects in a fast-paced startup environment. Experience managing, monitoring, and scaling CI/CD platforms. Deep experience using and operating AWS services. Solid background in software engineering and the SDLC. Strong project management skills, leading planning, project execution, and delivery of team outcomes on schedule. Experience building a high-performance team through deliberate hiring, upskilling, performance-management, and expectation setting. Nice to Have Experience: Experience driving cross-functional engineering management initiatives (coordinating events, strategic planning, coordinating large projects). Experience driving organizational improvements (processes, systems, etc.) Experience managing AWS service usage across a broader engineering organization. Experience in AWS spend management. Experience designing solutions using Temporal workflows; ability to act as an internal consultant for Temporal. Experience with Kubernetes. Experience designing scalable distributed systems. Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, with 500+ employees, and growing fast Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available: ************************* We offer generous cash & equity compensation Health, dental, and vision coverage for you and your dependents Wellness and commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible paid time off plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco, San Jose or upcoming Bellevue office location 4 days per week; Lambda's designated work from home day is currently Tuesday. The Lambda Core Services team builds and operates release engineering, cloud automation, and workflow systems for our AI cloud product suite. We provide CI/CD tooling and artifact management to support the build/deploy process for our services. We also automate configuration of our AWS and other SaaS resources and manage AWS usage for all of Lambda engineering. Keeping the internal product and engineering teams moving quickly and delivering quality is what makes us tick. Along with the Platform Engineering organization, we help to build the foundations that unlock product excellence and a highly reliable experience for our customers. About the Role: We are seeking a seasoned Engineering Manager with deep experience in both release engineering and the management of large-scale cloud deployments. You will hire and guide a team of platform engineers in building out critical pillars of our stack. You will lead the team in designing, deploying, scaling, and supporting these solutions. Your role is not just to manage people, but to coordinate the delivery of platform solutions to engineering customers within Lambda. This is a unique opportunity to work at the intersection of platform engineering and the rapidly evolving field of AI infrastructure. What You'll Do Team Leadership & Management: Grow/Hire, lead, and mentor a team of high-performing platform engineers and SREs. Foster a culture of technical excellence, collaboration, and customer service. Conduct regular one-on-one meetings, provide constructive feedback, and support career development for team members. Drive outcomes by managing project priorities, deadlines, and deliverables. Technical Strategy & Execution: Work with the engineering team to drive strategy for internal CI/CD and Cloud services. Develop self-service abstractions to make our platform tooling easier to adopt and use. Lead the broader engineering organization in best-practices adoption of CI/CD, Workflow, and Cloud services. Manage costs of both vendors and internally developed platforms. Lead team in the continued development of our existing CI/CD solutions based on Buildkite and Github Actions. Lead team in the expansion of our Terraform / Atlantis infrastructure automation platform. Guide Lambda engineering in utilization of AWS services in line with our technical standards. Guide team in problem identification, requirements gathering, solution ideation, and stakeholder alignment on engineering RFCs. Identify gaps in our platform engineering posture and drive resolution. Lead the team in supporting our internal customers from across Lambda engineering. Cross-Functional Collaboration: Work closely with Lambda product engineering teams on requirements and planning to meet their needs. Work to understand the needs of engineering teams and drive our Platform solutions towards self-service. Manage a short list of vendors that provide SaaS solutions used at Lambda. You Experience: 7+ years of experience in either Release Engineering or Platform Engineering with at least 3 years in a management or lead role. Demonstrated experience leading a team of engineers and SREs on complex, cross-functional projects in a fast-paced startup environment. Experience managing, monitoring, and scaling CI/CD platforms. Deep experience using and operating AWS services. Solid background in software engineering and the SDLC. Strong project management skills, leading planning, project execution, and delivery of team outcomes on schedule. Experience building a high-performance team through deliberate hiring, upskilling, performance-management, and expectation setting. Nice to Have Experience: Experience driving cross-functional engineering management initiatives (coordinating events, strategic planning, coordinating large projects). Experience driving organizational improvements (processes, systems, etc.) Experience managing AWS service usage across a broader engineering organization. Experience in AWS spend management. Experience designing solutions using Temporal workflows; ability to act as an internal consultant for Temporal. Experience with Kubernetes. Experience designing scalable distributed systems. Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, with 500+ employees, and growing fast Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available: ************************* We offer generous cash & equity compensation Health, dental, and vision coverage for you and your dependents Wellness and commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible paid time off plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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

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

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

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

SurveyMonkey is the world's most popular platform for surveys and forms, built for business-loved by users. We combine powerful capabilities with intuitive design, effectively serving every use case, from customer experience to employee engagement, market research to payment and registration forms. With built-in research expertise and AI-powered technology, it's like having a team of expert researchers at your fingertips. Trusted by millions-from startups to Fortune 500 companies-SurveyMonkey helps teams gather insights and information that inspire better decisions, create experiences people love, and drive business growth. Discover how at surveymonkey.com. What we're looking for We are seeking a visionary Director of Engineering to lead the Platform Services team. This critical leadership role drives the architecture, development, and operation of the foundational services powering our next-generation SaaS product. The ideal candidate will possess a strong background in scaling SaaS platforms, deep expertise in security services (Identity, AuthZ/AuthN), and proven experience building enterprise-grade administration and internal tooling. This role will define technical strategy, foster engineering excellence, and manage a high-performing team to deliver robust, scalable, and secure platform capabilities. What you'll be working on Strategy and Leadership Define and execute the Platform Services technical roadmap, ensuring alignment with company strategy and security requirements. Lead, mentor, and grow a high-performing engineering team, fostering a culture of innovation and rigor. Establish and enforce best practices for software development, QA, deployment, and operational excellence (DevOps/SRE). Manage budgets, resource allocation, and project timelines for the Platform Services domain. Platform Development and Architecture Identity and Access Management (IAM): Own the strategy and delivery for core security services (Identity, AuthN, AuthZ), including SSO, OAuth 2.0/OIDC, and Role-Based Access Control (RBAC). Enterprise Administration: Architect and implement scalable, multi-tenant solutions for enterprise customer administration, user provisioning, and account management at scale. Internal Tooling: Oversee the development of secure, efficient, and user-friendly Customer Service Administration Tools for platform support, auditing, and debugging. Drive the adoption of modern microservices architecture, cloud-native patterns, and performance optimization for high availability and low latency. Collaboration and Security Partner with Product Management to translate business requirements into technical specifications and clear development plans. Collaborate with Security and Compliance teams to ensure all services meet stringent security standards (e.g., SOC 2, ISO 27001) and maintain robust logging and auditing capabilities. Work with other Engineering Directors to seamlessly integrate Platform Services into product-facing features and infrastructure. We'd love to hear from people with 10+ years of software engineering experience, with 4+ years in a senior leadership role managing multiple engineering teams in a high-growth SaaS environment. Bachelor's or Master's degree in Computer Science or a related field (or equivalent practical experience), combined with excellent communication, negotiation, and stakeholder management skills. Proven track record in building and scaling mission-critical, 24/7 services. Extensive knowledge of core platform services, including AuthN/AuthZ protocols, modern IAM systems, federation, cryptographic security best practices, and architecting multi-tenant/enterprise administration solutions. Strong architectural understanding of distributed systems, microservices, and cloud computing platforms (AWS, Azure, or GCP). Experience with specific identity providers (e.g., Okta, Auth0, Ping Identity). Hands-on experience with modern DevOps practices: CI/CD, Infrastructure-as-Code (Terraform), and cloud monitoring/logging tools. Prior experience building robust, internal-facing tools for operations or customer support. SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution in problem-solving and decision-making. As such, you will be required to work from a SurveyMonkey office up to 1 day per week. #LI-Hybrid Why SurveyMonkey? We're glad you asked At SurveyMonkey, curiosity powers everything we do. We're a global company where people from all backgrounds can make an impact, build meaningful connections, and grow their careers. Our teams work in a flexible, hybrid environment with thoughtfully designed offices and programs like the CHOICE Fund to help employees thrive in work and life. We've been trusted by organizations for over 25 years, and we're just getting started. Our milestones include celebrating a quarter-century of curiosity with 25 acts of giving, opening new hubs in Costa Rica and India, crossing the threshold of 100 billion questions answered, and earning recognition as one of the Most Inspiring Workplaces across North America and Asia. We live our company values-like championing inclusion and making it happen-by embedding them into how we hire, collaborate, and grow. They help shape everything from our culture to our business decisions. Come join us and see where your curiosity can take you. Our commitment to an inclusive workplace SurveyMonkey is an equal opportunity employer committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.

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

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

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. 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: ********************************************

Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 116 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit ****************** Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the foundational embeddings and infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You'll Do: As a Senior Engineering Manager, Unified Embeddings Platform, you will work lead our Embeddings Platform Team and be instrumental in architecting, implementing, and maintaining platform providing foundational ML embeddings based on state of the art architectures such as large scale graph neural networks, foundational models, large scale sequence models, etc. empowering all product verticals at Reddit to fulfill Reddit's mission of bringing community and belonging to everyone in the world. You'll partner with teams across Reddit infrastructure and ML modelling at the center of machine learning to enable machine learning engineers (MLEs) and data scientists (DSs) to improve the ML feature software development lifecycle. Lead the creation of foundational embeddings at Reddit leveraging state of the art architectures such as graph neural networks, transformer based sequence models, foundational models, etc. Lead the design and long-term evolution of Reddit's Embeddings platform enabling all ML teams access, store and share embeddings Drive high-impact, high-leverage projects that align with Reddit's broader engineering and business goals Build and grow a high-performing team, including hiring, mentoring, and creating a culture of technical excellence Establish and champion best practices for the production, consumption, and governance of machine learning features Serve as a thought partner to product and upper management to ensure your team's plans align with company goals. Communicate your team's work and set expectations with cross-functional stakeholders. Who You Might Be: 4+ years of experience in people management 8+ years of work experience in a production software development environment Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle. Experience working on large-scale ML Systems serving 100s of millions of users Experience building self service platform enabling storage and sharing of large scale data and embeddings Experience with leading modelling teams powering the creation of foundational embeddings based on state of the art architectures Strong organizational & communication skills Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit *********************************** To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is:$266,000-$372,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

RETHINK MANUFACTURING The only way to ignite change is to build the best team. At Bright Machines, we're innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers' unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next. Working with us means you'll have the opportunity to make lasting, impactful changes for our company and our customers. If you're ready to apply your exceptional skills to create the factory of the future, we'd love to speak with you. ABOUT THE ROLE We are seeking a dynamic and experienced Engineering Director to lead all manufacturing engineering functions at a modern electronics manufacturing facility specializing in server assembly, box build, and rack-level integration and testing. This role will own cross-functional engineering activities across Product Engineering, Test Development, Manufacturing Engineering, New Product Introduction (NPI), Design Engineering, Equipment Maintenance to drive operational excellence, scalability, and innovation. This is a foundational leadership role in a newly developed flagship manufacturing site-offering a unique opportunity to build and shape the engineering organization as part of a broader initiative to create a next-generation model factory. WHAT YOU WILL BE DOING * Leadership & Strategy * Establish, lead, and scale a multi-disciplinary engineering team supporting full product lifecycle and factory operations * Develop and implement the site's engineering strategy to support production, innovation, quality, and scalability goals * Drive a culture of ownership, continuous improvement, and technical excellence * Serve as the primary technical authority for engineering decisions on site. Manufacturing & Process Engineering Own process design, optimization, and control for servers and rack level assembly/test Implement lean manufacturing principles, PFMEA, continuous improvement initiatives and standardization Oversee equipment selection, layout planning, and capacity modeling New Product Introduction (NPI) Manage site-level industrialization of new products: from engineering builds to full ramp.Coordinate engineering readiness (tooling, process, test, training) for each phase gate.Interface with customer engineering teams and Program Management on schedules and deliverables. Product & Design Engineering Partner with OEMs/customers and internal teams to ensure manufacturability (DfM/DfT/DFAA), serviceability, and cost-optimization of server and rack-level products Drive closed-loop feedback from manufacturing and test data back into product design. Test Development & Automation Lead development and deployment of server-level and rack-level test systems (functional, burn-in, stress, and diagnostics).Ensure traceability, yield monitoring, and root-cause analysis systems are robust and scalable.Support the transition to automated test platforms and data-driven quality systems. Equipment Maintenance Implement preventive and predictive maintenance systems across all key production and test assets Ensure uptime, calibration, and health monitoring of critical production and test equipment including automation solutions Factory Automation & Innovation Identify opportunities for production automation and digital transformation across production lines Collaborate with internal R&D and Product teams to evaluate, pilot, and scale automation solutions-robotics, autonomous material movement, vision systems, and data-driven process controls Cross-Functional Collaboration Collaborate with RnD, Product, Production, Quality, Supply Chain, Program Management to drive operational excellence.Represent engineering in customer audits, technical reviews, and executive briefings WHAT YOU WILL BRING * Bachelor's or master's degree in electrical, Mechanical, or Industrial Engineering (or related field). * 10+ years of engineering leadership experience in electronics manufacturing, preferably servers or data center infrastructure. * Proven track record managing teams in box build, system assembly, and rack-level testing environments. * Strong background in test engineering (ICT, functional, burn-in) and process validation. * Experience with NPI processes, customer collaboration, and high-mix/low-volume operations. * Familiarity with MES, SPC, traceability tools, lean/Six Sigma, and smart factory systems. * Excellent communication, leadership, and organizational skills. IT WOULD BE GREAT IF YOU HAD * Experience working in CM, OEM, ODM manufacturing facilities * Exposure to liquid-cooling, high-power rack systems, or edge compute infrastructure. * Knowledge of ISO, IPC, and industry compliance standards for electronics manufacturing. $210,000 - $260,000 a year BE EMPOWERED TO CHANGE AN INDUSTRY Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market. Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes' AI 50, awarded "Best AI-based Solution for Manufacturing" by AI Breakthrough, named a "Technology Pioneer" by the World Economic Forum, and highlighted by several other leading technology and innovation organizations.

RETHINK MANUFACTURING The only way to ignite change is to build the best team. At Bright Machines , we're innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers' unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next. Working with us means you'll have the opportunity to make lasting, impactful changes for our company and our customers. If you're ready to apply your exceptional skills to create the factory of the future, we'd love to speak with you. ABOUT THE ROLE We are seeking a dynamic and experienced Engineering Director to lead all manufacturing engineering functions at a modern electronics manufacturing facility specializing in server assembly, box build, and rack-level integration and testing. This role will own cross-functional engineering activities across Product Engineering, Test Development, Manufacturing Engineering, New Product Introduction (NPI), Design Engineering, Equipment Maintenance to drive operational excellence, scalability, and innovation.This is a foundational leadership role in a newly developed flagship manufacturing site-offering a unique opportunity to build and shape the engineering organization as part of a broader initiative to create a next-generation model factory.WHAT YOU WILL BE DOING Leadership & Strategy Establish, lead, and scale a multi-disciplinary engineering team supporting full product lifecycle and factory operations Develop and implement the site's engineering strategy to support production, innovation, quality, and scalability goals Drive a culture of ownership, continuous improvement, and technical excellence Serve as the primary technical authority for engineering decisions on site. Manufacturing & Process Engineering Own process design, optimization, and control for servers and rack level assembly/test Implement lean manufacturing principles, PFMEA, continuous improvement initiatives and standardization Oversee equipment selection, layout planning, and capacity modeling New Product Introduction (NPI) Manage site-level industrialization of new products: from engineering builds to full ramp. Coordinate engineering readiness (tooling, process, test, training) for each phase gate. Interface with customer engineering teams and Program Management on schedules and deliverables. Product & Design Engineering Partner with OEMs/customers and internal teams to ensure manufacturability (DfM/DfT/DFAA), serviceability, and cost-optimization of server and rack-level products Drive closed-loop feedback from manufacturing and test data back into product design. Test Development & Automation Lead development and deployment of server-level and rack-level test systems (functional, burn-in, stress, and diagnostics). Ensure traceability, yield monitoring, and root-cause analysis systems are robust and scalable. Support the transition to automated test platforms and data-driven quality systems. Equipment Maintenance Implement preventive and predictive maintenance systems across all key production and test assets Ensure uptime, calibration, and health monitoring of critical production and test equipment including automation solutions Factory Automation & Innovation Identify opportunities for production automation and digital transformation across production lines Collaborate with internal R&D and Product teams to evaluate, pilot, and scale automation solutions-robotics, autonomous material movement, vision systems, and data-driven process controls Cross-Functional Collaboration Collaborate with RnD, Product, Production, Quality, Supply Chain, Program Management to drive operational excellence. Represent engineering in customer audits, technical reviews, and executive briefings WHAT YOU WILL BRING Bachelor's or master's degree in electrical, Mechanical, or Industrial Engineering (or related field). 10+ years of engineering leadership experience in electronics manufacturing, preferably servers or data center infrastructure. Proven track record managing teams in box build, system assembly, and rack-level testing environments. Strong background in test engineering (ICT, functional, burn-in) and process validation. Experience with NPI processes, customer collaboration, and high-mix/low-volume operations. Familiarity with MES, SPC, traceability tools, lean/Six Sigma, and smart factory systems. Excellent communication, leadership, and organizational skills. IT WOULD BE GREAT IF YOU HAD Experience working in CM, OEM, ODM manufacturing facilities Exposure to liquid-cooling, high-power rack systems, or edge compute infrastructure. Knowledge of ISO, IPC, and industry compliance standards for electronics manufacturing. BE EMPOWERED TO CHANGE AN INDUSTRY Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market. Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes' AI 50, awarded “Best AI-based Solution for Manufacturing” by AI Breakthrough, named a “Technology Pioneer” by the World Economic Forum, and highlighted by several other leading technology and innovation organizations.