Sr Product Manager, Career Agents

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

Requirements

BS/BA Degree in a technology related field OR equivalent experience; 4+ years of experience in product management or equivalent role

Nice to have

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

Benefits

Annual performance bonus; stock; benefits; other applicable incentive compensation plans