Manager, Software Engineering Personalization Platform

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 LinkedIns 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 LinkedIns 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 LinkedIns 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.

Qualifications :

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 $147000 - $240000. 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: 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  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 LinkedIns 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: 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: 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 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 LinkedIns 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: 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: Work :

No

Employment Type :

Full-time