Manager, Software Engineering - Personalization Platform

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.

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.

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:

• You will 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.

• You will be a role model and professional coach for engineers with a strong bias for action and focus on craft.

• You will partner closely with AI, data science, product, and infrastructure teams to define and execute the long-term technical roadmap for personalization, experimentation, and growth.

• You will architect and scale distributed systems and services that power real-time personalization, contextual decisioning, and fast experimentation across all LinkedIn products.

• You will build robust experimentation frameworks that enable rapid iteration and evidence-based product development, partnering with growth teams to accelerate learning velocity.

• You will 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.

• You will collaborate with product and design partners to ensure personalization systems help members achieve their professional goals and improve enterprise productivity outcomes.

• You will champion engineering excellence by setting high standards for system design, reliability, and developer productivity.

• You will collaborate with senior leadership to align platform strategy with product goals and drive measurable business impact.

• You will 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 (like 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

• Scalable Service Architecture

• Experimentation and A/B Testing Systems

• Machine Learning and AI Infrastructure

• Growth Engineering

• Product and Personalization Strategy

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 $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: https://careers.linkedin.com/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.

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: 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.

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: 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.