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.

We are seeking a Technical Product Manager to lead the development of our AI Agents and underlying platform capabilities. This role sits at the intersection of product, engineering, and applied AI, and focuses on building scalable systems that enable intelligent, autonomous, and semi-autonomous agent workflows.

You will define product strategy, drive execution, and collaborate closely with engineering, research, and design teams to deliver agent-based solutions that solve real customer problems. The ideal candidate is comfortable working with ambiguity, understands modern AI/LLM systems, and can translate complex technical concepts into clear product direction.

What You’ll Do:

• Define and own the roadmap for AI agents and platform infrastructure
• Partner with engineering to design scalable, reliable agent architectures
• Translate business and user needs into detailed product requirements
• Work closely with AI/ML teams to integrate LLMs, retrieval systems, and tool use into products
• Drive experimentation, evaluation, and iteration of agent behaviors and performance
• Establish metrics and frameworks to measure agent effectiveness, safety, and quality
• Collaborate cross-functionally with design, data, and go-to-market teams
• Communicate product vision, progress, and tradeoffs to stakeholders

Suggested Skills

• Strong understanding of AI/ML concepts, especially LLMs, prompt engineering, and agent frameworks
• Experience with APIs, distributed systems, and platform products
• Ability to work with engineers on system design and technical tradeoffs
• Familiarity with tools like Python, SQL, or basic scripting for analysis
• Experience with experimentation, A/B testing, and data-driven decision making
• Knowledge of model evaluation, hallucination mitigation, and AI safety considerations
• Strong product sense with a focus on user outcomes and usability
• Excellent communication and stakeholder management skills

Basic Qualifications

• 3–5+ years of product management experience in a technical domain
• Experience working closely with engineering teams on complex systems or platforms
• Demonstrated ability to ship products from concept to launch
• Strong analytical and problem-solving skills
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
• Experience working in agile or iterative development environments

Preferred Qualifications

• Experience building or managing AI/ML-powered products, especially LLM-based systems
• Familiarity with AI agent frameworks, orchestration tools, or multi-step workflows
• Hands-on experience with APIs from major AI providers (e.g., OpenAI, Anthropic, etc.)
• Background in developer platforms, infrastructure, or internal tooling
• Experience with retrieval-augmented generation (RAG), embeddings, or vector databases
• Understanding of evaluation techniques for AI systems (offline evals, human-in-the-loop, etc.)
• Prior experience in a startup or fast-paced environment
• Advanced degree in a technical field (CS, AI, ML, etc.)

Test - DO-NOT-APPLY

THIS JOB IS INTENDED FOR TESTING ONLY. PLEASE DO NOT APPLY.

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 at [email protected] and describe the specific accommodation requested for a disability-related limitation.

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 for Job Candidates ​
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.