LinkedIn
Manager, Software Engineering - Personalization Platform
LinkedIn, Sunnyvale, California, United States, 94087
Manager, Software Engineering – Personalization Platform
Full‑time
Workplace Type: Hybrid
Location: Mountain View, CA
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.
This role will be based in Mountain View, CA, and the work location 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.
You will lead the team responsible for building and evolving LinkedIn’s personalization platform – the foundational infrastructure that enables every product team across LinkedIn to deliver personalized, intelligent, and context‑aware experiences to over a billion members and enterprise customers.
The personalization platform your team builds will make every interaction on LinkedIn more relevant, valuable, and effective – enabling members to discover the right opportunities, connect with the most meaningful people and content, and helping enterprise customers find and engage the right talent, leads, or learners. By empowering these experiences, the platform will help members be more productive and successful while enabling organizations to achieve their business goals more efficiently.
You will guide the design and development of scalable, intelligent systems that support personalization at both the member and enterprise level, including real‑time decisioning, contextual understanding, and adaptive user experiences. The systems your team builds will empower LinkedIn’s product teams to rapidly experiment, learn, and deliver differentiated experiences that drive member satisfaction, engagement, and enterprise productivity.
Responsibilities
Manage the performance and career development of a team of software engineers to design, build, and scale the personalization platform powering LinkedIn’s product ecosystem.
Act as a role model and professional coach for engineers with a strong bias for action and focus on craft.
Partner closely with AI, data science, product, and infrastructure teams to define and execute the long‑term technical roadmap for personalization, experimentation, and growth.
Architect and scale distributed systems and services that power real‑time personalization, contextual decisioning, and fast experimentation across all LinkedIn products.
Build robust experimentation frameworks that enable rapid iteration and evidence‑based product development, partnering with growth teams to accelerate learning velocity.
Evolve the platform to leverage the latest in AI, machine learning, large language models (LLMs), and intelligent agents to deliver increasingly adaptive, context‑aware experiences.
Collaborate with product and design partners to ensure personalization systems help members achieve their professional goals and improve enterprise productivity outcomes.
Champion engineering excellence by setting high standards for system design, reliability, and developer productivity.
Collaborate with senior leadership to align platform strategy with product goals and drive measurable business impact.
Hire, grow, and retain top engineering talent, fostering a culture of innovation, technical excellence, and inclusion.
Basic Qualifications
BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience.
1+ year(s) of management experience or 1+ year(s) of staff‑level engineering experience with management training.
5+ years of industry experience in software design, development, and large‑scale software engineering.
Experience programming in object‑oriented and/or functional programming languages (Java, Python, C, C++, Scala, etc.).
Preferred Qualifications
MS or PhD in Computer Science or related technical discipline.
2+ years of hands‑on software engineering/technical management and people management experience.
7+ years industry experience in software design, development, and algorithm‑related solutions.
5+ years programming experience in languages such as Java, C/C++, C#, Python, Go, etc.
Proven experience designing and operating large‑scale, distributed systems and high‑availability services.
Deep understanding of experimentation, growth systems, and A/B testing frameworks.
Experience integrating or building personalization and recommendation systems leveraging AI/ML models.
Familiarity with modern ML platforms, real‑time data processing, and LLM/agent‑based personalization techniques.
Demonstrated success managing teams delivering high‑impact, cross‑functional platform initiatives.
Suggested Skills
Technical Leadership
Communication
Software Design
Cross‑organizational Collaboration
Experimentation and A/B Testing Systems
Machine Learning and AI Infrastructure
Product and Personalization Strategy
You Will Benefit From Our Culture
Generous health and wellness programs.
Time away for employees of all levels.
Fair and equitable compensation practices.
The pay range for this role is $147,000 – $240,000. 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:
LinkedIn Benefits .
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.
Reasonable Accommodation for Job Seekers with Disabilities LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. 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.
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.
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
https://lnkd.in/paytransparency .
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:
https://legal.linkedin.com/candidate-portal .
#J-18808-Ljbffr
Full‑time
Workplace Type: Hybrid
Location: Mountain View, CA
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.
This role will be based in Mountain View, CA, and the work location 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.
You will lead the team responsible for building and evolving LinkedIn’s personalization platform – the foundational infrastructure that enables every product team across LinkedIn to deliver personalized, intelligent, and context‑aware experiences to over a billion members and enterprise customers.
The personalization platform your team builds will make every interaction on LinkedIn more relevant, valuable, and effective – enabling members to discover the right opportunities, connect with the most meaningful people and content, and helping enterprise customers find and engage the right talent, leads, or learners. By empowering these experiences, the platform will help members be more productive and successful while enabling organizations to achieve their business goals more efficiently.
You will guide the design and development of scalable, intelligent systems that support personalization at both the member and enterprise level, including real‑time decisioning, contextual understanding, and adaptive user experiences. The systems your team builds will empower LinkedIn’s product teams to rapidly experiment, learn, and deliver differentiated experiences that drive member satisfaction, engagement, and enterprise productivity.
Responsibilities
Manage the performance and career development of a team of software engineers to design, build, and scale the personalization platform powering LinkedIn’s product ecosystem.
Act as a role model and professional coach for engineers with a strong bias for action and focus on craft.
Partner closely with AI, data science, product, and infrastructure teams to define and execute the long‑term technical roadmap for personalization, experimentation, and growth.
Architect and scale distributed systems and services that power real‑time personalization, contextual decisioning, and fast experimentation across all LinkedIn products.
Build robust experimentation frameworks that enable rapid iteration and evidence‑based product development, partnering with growth teams to accelerate learning velocity.
Evolve the platform to leverage the latest in AI, machine learning, large language models (LLMs), and intelligent agents to deliver increasingly adaptive, context‑aware experiences.
Collaborate with product and design partners to ensure personalization systems help members achieve their professional goals and improve enterprise productivity outcomes.
Champion engineering excellence by setting high standards for system design, reliability, and developer productivity.
Collaborate with senior leadership to align platform strategy with product goals and drive measurable business impact.
Hire, grow, and retain top engineering talent, fostering a culture of innovation, technical excellence, and inclusion.
Basic Qualifications
BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience.
1+ year(s) of management experience or 1+ year(s) of staff‑level engineering experience with management training.
5+ years of industry experience in software design, development, and large‑scale software engineering.
Experience programming in object‑oriented and/or functional programming languages (Java, Python, C, C++, Scala, etc.).
Preferred Qualifications
MS or PhD in Computer Science or related technical discipline.
2+ years of hands‑on software engineering/technical management and people management experience.
7+ years industry experience in software design, development, and algorithm‑related solutions.
5+ years programming experience in languages such as Java, C/C++, C#, Python, Go, etc.
Proven experience designing and operating large‑scale, distributed systems and high‑availability services.
Deep understanding of experimentation, growth systems, and A/B testing frameworks.
Experience integrating or building personalization and recommendation systems leveraging AI/ML models.
Familiarity with modern ML platforms, real‑time data processing, and LLM/agent‑based personalization techniques.
Demonstrated success managing teams delivering high‑impact, cross‑functional platform initiatives.
Suggested Skills
Technical Leadership
Communication
Software Design
Cross‑organizational Collaboration
Experimentation and A/B Testing Systems
Machine Learning and AI Infrastructure
Product and Personalization Strategy
You Will Benefit From Our Culture
Generous health and wellness programs.
Time away for employees of all levels.
Fair and equitable compensation practices.
The pay range for this role is $147,000 – $240,000. 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:
LinkedIn Benefits .
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.
Reasonable Accommodation for Job Seekers with Disabilities LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. 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.
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.
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
https://lnkd.in/paytransparency .
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:
https://legal.linkedin.com/candidate-portal .
#J-18808-Ljbffr