Job Description

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 DescriptionThis role will be based in New York, San Francisco or 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.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: In this role, you will be leading the Search Experience team. You’ll own the end-to-end user experience of what members do on the search results page, blending today’s search results with agentic, AI-powered experiences that understand intent, synthesize insights, enable exploration, and help members take action. Working closely with our ranking teams, you’ll set the vision for transforming today’s search results page into a fast, fluid, and agentic experience. You’ll shape how conversational, multimodal, and personalized interactions make Search more intuitive and valuable for the next generation of LinkedIn members.What you’ll do: You’ll partner closely with design and engineering (alongside research, marketing, data science and other XFN peers) to reimagine the end-to-end LinkedIn search experience. As an AI-native, full-stack product builder, you’ll make ideas tangible through prototypes, demos, and rapid experimentation rather than lengthy PRDs. You’ll develop a deep understanding of model behavior and failure modes, using research, evaluations, and product judgment to balance quality, trust, latency, inference cost, and member value at 1.3 billion user scale.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.ResponsibilitiesLead the Search Experience team and own the end-to-end member experience on the search results page, from understanding and exploring results to refining intent and taking action.Set the vision and roadmap for evolving LinkedIn Search from ranked results into a fast, fluid, and agentic AI experience.Build conversational, multimodal, and personalized experiences designed for Gen Z and AI-native members.Partner closely with design and engineering, alongside research, data science, product marketing, and ranking teams.Operate as an AI-native product builder, bringing ideas to life through prototypes, demos, and rapid experimentation.Develop a deep understanding of model behavior and failure modes, balancing quality, trust, latency, inference cost, and member value.Define success metrics and use research, evaluations, UI experiments, and product judgment to improve successful search outcomes at billion-member scale.QualificationsBasic QualificationsBS/BA Degree in a technology related field OR equivalent experience3+ years of experience in product management or equivalent rolePreferred Qualifications4+ years of experience in product management or equivalent role2+ years building world-class consumer experiences (search/conversational AI experience is a plus)Analytical experience launching and reviewing A/B tests, transforming insights into decisionsDemonstrated experience in AI intuition, evals, technical fluency, data fluency, failure analysis, prototyping, product judgment, systems thinking, economics, and iteration velocity. Suggested SkillsConsumer Product ExperienceSearch Product ExperienceApplied AI FluencyTechnical StorytellingLinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $155,000 to $253,000. 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

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