Job description

This role can be based in San Francisco or Sunnyvale, 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. We’re building an agent that works on behalf of our members across their entire career. It learns who they are and what they want, finds opportunities they would have overlooked, surfaces the people who can help them get there, and takes the next step with them. We’re looking for a Senior Product Manager to join the Career Agents team in our talent marketplace. You’ll own a core part of the agent’s product experience, and you’ll be accountable for one thing above all: whether it actually works for members. You’ll work side by side with AI and ML engineers, designers, and researchers, and you’ll ship iterations weekly. Responsibilities: • Define the vision, strategy, and roadmap for your area of the agent, grounded in what members need and what only LinkedIn can deliver • Own quality end to end: define what “good” looks like, build eval sets and rubrics with AI engineers, read traces, and run hill-climbing loops until the metrics move • Shape the agent harness with engineering: which tools and skills the agent has, how it plans multi-step tasks, and how it uses memory and context across sessions • Design for trust: decide when the agent acts on its own, when it asks, and how members see, correct, and approve what it does • Prototype with new models and techniques, put working versions in front of members in days, and use what you learn to decide what to build, cut, or double down on • Make data-driven decisions by pulling and analyzing data from multiple sources, including evals, member research, and product metrics • Partner across product, engineering, AI, design, and legal to ship agent experiences that are valuable, simple, and safe • Generate buy-in and excitement with key stakeholders and executives across LinkedIn • Contribute toward a team culture focused on high velocity decision making, deep care, and learning Basic Qualifications: • BS/BA Degree in a technology related field OR equivalent experience • 4+ years of experience in product management or equivalent role Preferred Qualifications: • Hands-on experience building agents or LLM-powered products and shipping them to real users • Deep experience with evals: building eval sets and rubrics, error analysis, and using results to drive product decisions • Strong understanding of how agents work: tool use, planning, memory and context management, and common failure modes • Strong instincts for human-in-the-loop design and building member trust in automated actions • Comfort prototyping with LLMs yourself (e.g., prompting, light scripting, testing new models) • Strong analytical skills and comfort making data-driven decisions • Experience working on consumer products at scale • Ability to collaborate and lead across multiple partner teams with strong systems thinking • Experience in jobs, hiring, or careers is a plus, not a requirement Suggested Skills • Product Management • Generative AI • Large Language Models • Consumer Products LinkedIn 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 careers.linkedin.com. 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 and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: app.smartsheet.com 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: lnkd.in. Global 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: linkedin.com.

Requirements

Must-haves

Define the vision, strategy, and roadmap for your area of the agent, grounded in what members need and what only LinkedIn can deliver
Own quality end to end: define what “good” looks like, build eval sets and rubrics with AI engineers, read traces, and run hill-climbing loops until the metrics move
Shape the agent harness with engineering: which tools and skills the agent has, how it plans multi-step tasks, and how it uses memory and context across sessions
Design for trust: decide when the agent acts on its own, when it asks, and how members see, correct, and approve what it does
Prototype with new models and techniques, put working versions in front of members in days, and use what you learn to decide what to build, cut, or double down on
Make data-driven decisions by pulling and analyzing data from multiple sources, including evals, member research, and product metrics
Partner across product, engineering, AI, design, and legal to ship agent experiences that are valuable, simple, and safe
Generate buy-in and excitement with key stakeholders and executives across LinkedIn
Contribute toward a team culture focused on high velocity decision making, deep care, and learning
BS/BA Degree in a technology related field OR equivalent experience
4+ years of experience in product management or equivalent role

Nice-to-haves

Hands-on experience building agents or LLM-powered products and shipping them to real users
Deep experience with evals: building eval sets and rubrics, error analysis, and using results to drive product decisions
Strong understanding of how agents work: tool use, planning, memory and context management, and common failure modes
Strong instincts for human-in-the-loop design and building member trust in automated actions
Comfort prototyping with LLMs yourself (e.g., prompting, light scripting, testing new models)
Strong analytical skills and comfort making data-driven decisions
Experience working on consumer products at scale
Ability to collaborate and lead across multiple partner teams with strong systems thinking
Experience in jobs, hiring, or careers is a plus, not a requirement
Suggested Skills
Product Management
Generative AI

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlllm

Platform: smartrecruiters
Effort: medium

Benefits

Benefits detected in the listing.

Vision