Principal Product Manager, AI

Job Description

This role is based in Sunnyvale or San Francisco , California

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 was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. 

We are hiring a Principal Product Manager to lead key AI efforts for enterprise customers. This PPM will be responsible for driving initiatives involving agentic technology applied to the world of work, working in close collaboration with design, engineering, and AI to deliver world-class experiences. The person in this role is expected to be equal parts builder and strategist, with deep experience around evaluation, simulation, and deploying agents. 

Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. 

Responsibilities

• Shape the AI growth roadmap for LinkedIn’s consumer subscription business - Premium, overseeing AI driven pricing, promotions, offer eligibility, targeting, value articulation, quality, plan/subscription selection and experiences that are key to drive this multi-billion dollar business’s growth. 

• Work with AI and data teams, PMs, designers, engineers and partners, to create and act on an ambitious strategy and roadmap.

• Drive plan outcomes as measured in revenue, usage and customer satisfaction metrics, with direct accountability to bottom line. 

• Operate as a full-stack builder, with the ability to flex between coding agents, building prototypes, pulling relevant data and influencing strategy and stakeholders. 

• Serve as the subject and domain expert on AI topics, helping to bring the latest model innovations to drive business growth and outcomes.

• Understand and lead analyses of the competitive environment, customers and product metrics to determine the right vision and execution paths.

• Drive product requirements definition, planning and design of new features and enhancements to accomplish your set vision. 

• Clearly communicate product and platform benefits to users, internal stakeholders and execs, communicating across all levels of seniority in the company.

Qualifications

Basic Qualifications:

• BS/BA Degree in a technology related field OR equivalent experience

• 6+ years of experience in product management or equivalent role

Preferred Qualifications:

• MS degree in a technology-related field or MBA.

• Experience building online products, with a deep understanding of AI/Relevance.

• Strong understanding of the most recent trends in agentic technology, including evaluation approaches.

• Experience with agent evaluation frameworks.

• Strong experience using coding agents and AI-tools for product, design and engineering outcomes.

• Experience working in a high-velocity A/B testing consumer environments, working aross large sets of data at a high pace of execution. 

• Excellent communication skills with the ability to interact with and understand technical subjects and emerging technologies and their relevance to the marketplace.

• Ability to manage and lead across highly cross-functional teams.

• Ability to communicate findings clearly to both technical and non-technical audiences.

• Demonstrated success defining and executing AI product strategy in partnership with Applied Research, Engineering, and Data teams.

• Experience collaborating with AI platform and infrastructure teams to scale experimentation, feature development, and model training capabilities.

• Ability to communicate and simplify complex ML concepts and influence at the executive and cross-functional level.

Suggested Skills:

• Understanding of Artificial Intelligence / Machine Learning

• Product strategy

• Communication

• Experience building consumer products

• Scaled A/B testing

LinkedIn is committed to fair and equitable compensation practices.  

The pay range for this role is $185,000 to $299,000.  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.

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.

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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.

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Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

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