Principal Product Manager, Agentic Platform
LinkedIn · Mountain View, CA, United States
- Senior
- Full-time
- $187,000 – $305,000
- Posted 2026-09-23
- Confirmed live on 25 September 2026
Job description
Job Description
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
• We are building the platform that a new kind of agents run on. You will own it end to end.
• These agents take on real work inside a company: sourcing candidates, qualifying pipeline, handling RFPs, keeping operations moving. The platform underneath them is what makes that possible, and what makes it repeatable across different kinds of work.
What you will own
• The platform end-to-end, including memory and context, skills architecture, one-click worker onboarding, identity, governance and compliance, and worker personality.
• A platform general enough to serve agents across recruiting, sales, business operations, and more
• The outcomes we hold ourselves to, and the evals that tell us whether we are getting there.
• The roadmap and the tradeoffs behind it, explained clearly to engineers, product partners, executives, and customers.
How we work
Small team, real customers, short cycles. We would rather ship something narrow that works than something broad that almost works. If that sounds like your kind of problem, we would like to talk.
Qualifications
Basic Qualifications
• BS/BA Degree in a technology related field OR equivalent experience
• 7+ years of experience in product management or equivalent role
Preferred Qualifications
• 8+ years of experience in product management or equivalent role
• Experience in building AI products before, and you think in outcomes and evals rather than features shipped.
• Good judgment about what to leave out, and you make complicated systems feel obvious.
• You bring order, calm, and maturity to messy situations. People get steadier when you join the room.
• Customer-ready. You are equally comfortable with an engineer debugging a trace, a peer in product, an executive with fifteen minutes, or a customer with a hard question.
• B2B experience is a plus.
Suggested Skills
• AI Product Management
• B2B Experience
• Platform Experience
LinkedIn 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 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
Interview problems reported for LinkedIn
Reported by candidates and public write-ups, not by LinkedIn. Practise each one here:
- Maximum Subarray — Medium
- Valid Parentheses — Easy
- Number of Islands — Medium
- Maximum Product Subarray — Medium
- Minimum Window Substring — Hard
- Search in Rotated Sorted Array — Medium
- Lowest Common Ancestor of a Binary Search Tree — Medium
- Maximum Depth of Binary Tree — Easy
- Serialize and Deserialize Binary Tree — Hard
- Merge Intervals — Medium
- Two Sum — Easy
- Merge Two Sorted Lists — Easy
- Merge K Sorted Lists — Hard
- Binary Tree Level Order Traversal — Medium
- Insert Interval — Medium
- Product of Array Except Self — Medium
- House Robber — Medium
- Palindromic Substrings — Medium
- Graph Valid Tree — Medium
- Number of Connected Components in an Undirected Graph — Medium
- Longest Substring Without Repeating Characters — Medium
- Same Tree — Easy
- Reorder List — Medium
- Invert Binary Tree — Easy
- Combination Sum — Medium
- Course Schedule — Medium
- House Robber II — Medium
- Word Break — Medium
- Unique Paths — Medium
- Best Time to Buy and Sell Stock — Easy
- Longest Consecutive Sequence — Medium
- Find Minimum in Rotated Sorted Array — Medium
- Reverse Linked List — Easy
- Linked List Cycle — Easy
- Validate Binary Search Tree — Medium
- Kth Smallest Element in a BST — Medium
- Longest Palindromic Substring — Medium
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