Six Figure Work

Sr Product Manager, Career Agents

LinkedIn

Company websitelinkedin.com (LinkedIn, opens in new tab)

Base salary $155K  to $253K

Employer-published annual base salary, USD. Advertised base range in Sunnyvale, CA

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  • LocationSunnyvale, CA
  • WorkplaceHybrid
  • Status at last checkSource accepting applications when checked
  • Last checked (15 min ago) · observed since

About this job

Company Description

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.

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

Qualifications

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 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.

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: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36

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 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: https://www.linkedin.com/legal/candidate-portal.

Source: LinkedIn on SmartRecruiters · View original posting (opens in new tab)

Pay in context

This role's base floor ($155,000) is above 26% of the 863 Product roles in California listed on this site; 6 others list the same floor. Their median floor is $176,800; the middle half runs from $151,300 to $205,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live LinkedIn roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live LinkedIn roles with the nearest advertised base floor
RolePublished base
Sr Product Manager, Career Agents (this listing)$155K - $253K
Staff Product Designer, Search and Conversational AI$155K - $253K
Sr Product Manager, Vertical Agents$155K - $253K
Staff Security Engineer - Enterprise & Third Party Risk Management$156K - $255K
Staff Software Engineer - Identity and Verifications Team$156K - $255K
Staff Network Engineer$156K - $255K
Staff Software Engineer - Marketplace Integrity$156K - $255K

Same $100K to $400K scale as every card. All LinkedIn roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
  3. Stopped meeting the published-salary criteria
  4. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-23
Where this pay comes from

Location as the employer wrote it: Sunnyvale, CA, United States

The pay range for this role is $155,000 to $253,000. Actual compensation packages are based on several factors

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.