Product Manager, Core AI

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 can be based in Mountain View / San Francisco, Bellevue, or New York.

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.

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’re much more than a digital resume – we transform lives through innovative products and technology. At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works.

LinkedIn Core AI builds a 360 understanding of all entities in the LinkedIn ecosystem, spanning the world’s professionals, companies, schools, jobs, content, and more. This ensures a single source of truth for all entities, powers nearly every product and experiment at LinkedIn, leads to members and customers getting better access to opportunities, and enables the marketplaces to have better matching (higher quality, coverage and efficiency).

All these are achieved through cutting-edge Generative AI, embeddings, and Large-language models.

In this role, you will help own the strategy and execution for LinkedIn’s foundational AI products. This is a rare opportunity to work on initiatives at the cutting-edge of AI, which benefits every product and team at LinkedIn and over 1 billion members of the global workforce.

Responsibilities

Own the vision and strategy of LinkedIn’s Core AI products. Interface with other product teams across the company to understand the product ecosystem and prioritize the top product problems that need to be solved by AI technologies.

Build a roadmap of the technology solutions (either improvements to the existing models or potential new models that could be developed).

Success evaluation: define ground truth and metrics, drive rigorous testing and evaluation of AI models for accuracy, performance and trustworthiness.

Communicate the team’s AI solutions to partners/clients/execs to bring significant clarity, and gain adoption customers.

Work with other PMs, designers and UXR to develop an interaction paradigm for the product that provides training signal back to the model development process.

Make sure the team is executing to the latest industry standards for responsible model development as it relates to privacy, policy, legal, etc.

Basic Qualifications

3+ years of product management experience or equivalent role.

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

Experience in analytics and AI-driven products.

Preferred Qualifications

4+ years of product management experience

Experience shipping consumer or enterprise products with AI especially embeddings and large-language models.

Proven skills to innovate based on deep understanding of emerging AI technologies.

The desire to drive product development as a senior individual contributor Product Manager - focused on execution of the responsibilities of a PM, rather than managing other PMs.

Ability to manage and lead across highly cross-functional teams

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

Suggested Skills

AI

Large Language Models

Machine Learning

Embeddings

_LinkedIn is committed to fair and equitable compensation practices. _

_The pay range for this role is $123,000 to $201,000. 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

LinkedIn is committed to diversity in its workforce and is 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 an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: EEO Statement_2020 - Signed.pdf (https://legal.linkedin.com/content/dam/legal/LinkedIn_EEO_Statement_2020.pdf) .

Please reference the following information for more information: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and

https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.

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 accommodations@linkedin.com 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.