Senior Product Manager, Feed Relevance - job 1 of 2

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, San Francisco, New York or Bellevue. 

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.

LinkedIn's vision is to create economic opportunity for every member of the global workforce.  Short- and medium-form video content consumption is becoming the default way people consume content, with exponentially increasing amounts of online time being spent consuming video-first content. Over the last year, we’ve observed the ecosystem-wide trend towards video impacting LinkedIn creation and consumption organically. We actively turn this engagement into opportunity, as it supercharges our hiring, marketing, selling, and learning marketplaces globally and reduces barriers to economic success. As a result, we are entering yet another explosive period of growth.

This growth means we can further the meaningful impact we have on the lives of our 1 Billion+ members. This includes helping someone find jobs/talent, build/nurture their network, give/get help, sell/buy, learn/teach, and so much more. We are helping people to start a business, grow their business, save their business, build their brand, be a mentor/advisor, or simply share information/knowledge to give back to the broader community.

In order for us to capitalize on this period of growth and use it to create opportunity for others, we are looking for an Al Product Manager to lead the core ranking of feed on LinkedIn. This includes how updates in the Feed are optimized and balancing multiple ecosystems trade offs and considerations. 

Responsibilities

• Partner with PMs, data scientists, Al, applications, and-infrastructure engineers to lay out a comprehensive Al roadmap for Feed Relevance.
• Align product strategy and member experience with model objectives through measurable metrics.
• Prioritize and help to define new features and model improvements
• Understand and lead analyses of the competitive environment, customers and product metrics to determine the right set of features to drive engagement and usage on Linkedln
• Drive global product requirements definition, product planning and product design (including writing PRDs) of new features and enhancements
• Clearly communicate product and platform benefits to our users and internal stakeholders
• Make data-driven decisions on how best to solve customer challenges by pulling and analyzing data from multiple sources, including experiments

Basic Qualifications

• 4+ years of experience in product management or equivalent role
• BS/BA Degree in a technology-related field OR equivalent experience

Preferred Qualifications

• MS degree in a technology-related field
• 6+ years of experience in product management with AI/ML
• Prior experience with ranking and recommendation / personalization for large feeds
• Strong analytical skills and comfort making data-driven decisions
• Experience in Machine Learning and working with Generative AI
• Ability to collaborate and lead across multiple partner teams with strong systems thinking
• Ability to deep dive into technical details of ML systems with engineers, and metrics with the Data Science team
• Experience dealing with multi-sided marketplace

Suggested Skills

• Applied AI/ML
• Generative AI
• Experimental Analysis
• Feed Ranking

LinkedIn is committed to fair and equitable compensation practices.  

The pay range for this role is $146,000 to $238,000.  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 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.