Sr Product Manager, Vertical Agents

LinkedIn

California (MO)

Remote

USD 155,000 - 253,000

Full time

10 days ago
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Job summary

LinkedIn is seeking a product manager to create specialized AI agents for roles like sales, recruiting, or operations. You will define what success looks like, own the end‑to‑end lifecycle, and work closely with engineering, design, and customers to iterate.

The role supports remote or hybrid work, with ownership of the outcomes for your agents. You will collaborate across teams, shaping prompts, escalation paths, and edge cases while ensuring the product delivers measurable impact for users and

Qualifications

  • BS/BA degree in a technology related field or equivalent experience.
  • 4+ years in product management or an equivalent role.
  • Experience in vertical AI or SaaS is a plus.

Responsibilities

  • Own one or more vertically focused agents from definition to deployment.
  • Define outcome metrics, success criteria, and escalation paths.
  • Collaborate with engineering and design and maintain direct customer contact.

Skills

Product Management
Vertical AI
SaaS

Education

BS/BA Degree in a technology related field

Job 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.

This role will be based in San Francisco, Mountain View, Bellevue, or remote.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. This role may be remote or hybrid. At LinkedIn, hybrid roles are performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Remote roles are performed from the designated home work location upon time of hire, and any changes to this home work location requires a review of remote status and approval.

What this role is
  • This role is about one thing: creating specialized agents that are genuinely good at a specific job.
  • You will own agents built for roles like sales, recruiting, or business operations. That means understanding the actual work, the actual handoffs, and the actual measure of a good day in that role, then designing backward from there.
What you will own
  • One or more vertically focused agents, from problem definition through deployment and iteration with customers.
  • The outcome definition for your agents: what good looks like, how we measure it, and how we know when it is not working.
  • The details. Prompts, skills, escalation paths, edge cases, and the unglamorous places where trust is won or lost.
  • A tight loop with engineering and design, and a direct line to the customers using what you build.
How we work

Small team, real customers, short cycles. You will have unusual ownership and unusual access to the people using your work.

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
  • 5+ years of experience in product management or equivalent role
  • Experience in vertical AI or SaaS, and comfort designing and deploying software backward from outcomes.
  • Exceptional attention to detail. You understand customers’ needs and your product functionality down to the details.
  • You simplify. You have good judgment about what to leave out, and you make complicated systems feel obvious.
  • Ability to bring order, calm, and maturity to messy situations.
  • Customer-ready. You are equally comfortable with engineers, with peers in product, and with customers.
Suggested Skills
  • Product Management
  • Vertical AI
  • SaaS

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.

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.

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.

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