Principal Product Manager, Search

Company DescriptionLinkedIn 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.Job DescriptionJob DescriptionThis role will be based in New York, San Francisco or Mountain View.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.Our mission. As we enter the biggest transformation of work of our lifetime, the majority of the jobs on this planet will change over the next few years. Figuring out how humans will find their path, and earn a living, is the most important problem in the world right now, and that’s what we’re trying to solve on LinkedIn Search: our mission is to connect every professional to the right people, knowledge, and opportunities. What this role is: this role will own the end-to-end AI ranking for people and company search, helping members quickly find the professionals and organizations most relevant to their goals. This role is absolutely critical to LinkedIn’s business (search is used by hundreds of millions of people), and is essential in helping our members achieve their goals.What you’ll do: in this role, you’ll have the opportunity to build the future of search by combining the foundations of world-class search ranking with the latest advances in AI. You’ll go deep on query and content understanding, lexical and embedding-based retrieval, and multi-stage ranking, while shaping how we apply multimodal LLMs, model distillation and fine-tuning, and next-generation embeddings at LinkedIn’s scale. As we reimagine LinkedIn Search for Gen Z-led, AI-native world, you’ll partner closely with engineering, data science, design, research, and operations to define the AI ranking strategy and bring it to life: from understanding our next-gen member intent to improving search result relevance, quality, and trust, and unlocking entirely new AI-powered search experiences. You’ll also collaborate across LinkedIn’s consumer and customer businesses to build search experiences that create meaningful connections and economic opportunity.This is a true AI PM role: you’ll treat evals as the product, develop a deep understanding of model behavior and failure modes, and make thoughtful trade-offs across relevance, latency, inference cost, and member value. Your work will have a massive impact on helping members discover the right people and companies, form meaningful relationships, and unlock economic opportunity.Why are we here: Ultimately, behind every successful search at LinkedIn there's a human who's getting one step closer to paying their mortgage, sending their kids to school, starting a small business, or funding their retirement. Your main responsibility is to keep nudging that "successful searches" counter upwards.ResponsibilitiesOwn the end-to-end ranking for people and company search, from understanding member intent and retrieving candidates to ranking relevant, high-quality, and trusted results.Define and execute the ranking strategy across query and content understanding, lexical and embedding-based retrieval, and multi-stage ranking; advance next-generation search using multimodal LLMs, model distillation and fine-tuning, state-of-the-art embeddings, etc.Develop a deep understanding of model behavior and failure modes while balancing relevance, latency, inference cost, and member value, evaluate experiments and make launch decisions, monitor ranking and search health, triage member feedback.Collaborate across LinkedIn’s consumer and customer businesses, align leadership around priorities, communicate strategy, progress, and key decisions.Build in a full-stack, AI-native builder way: write evals & golden sets instead of multi-page PRDs, embrace probabilistic thinking (reasoning in distributions, error rates, confidence levels), prototype at the speed of prompting rather than waiting for full engineering cycles.QualificationsBasic QualificationsBS/BA Degree in a technology related field OR equivalent experience7+ years of experience in product management or equivalent rolePreferred Qualifications8+ years of experience in product management or equivalent role5+ years of experience in building industry-leading, large scale search products.Demonstrated experience in AI intuition, evals, technical fluency, data fluency, failure analysis, prototyping, product judgment, systems thinking, economics, and iteration velocity. Suggested SkillsApplied AI FluencyResponsible AI ImplementationLarge-scale Data AnalysisTechnical StorytellingLinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $187,000 to $305,000. 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 Additional InformationEqual 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 and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: 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 youHaving interviews in an accessible locationBeing accompanied by a service dogHaving a sign language interpreter present for the interviewA 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: Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: Full-timeFunction: Product ManagementExperience level: Mid-Senior LevelIndustry: Internet