Sr Product Manager, Career Agents

LinkedIn•Sunnyvale, CA

1d•Hybrid

About The Position

LinkedIn is hiring a Senior Product Manager for its Career Agents team in the talent marketplace. The team is building an agent that supports members across their careers by learning about their goals, finding overlooked opportunities, surfacing helpful connections, and taking next steps alongside them. The role owns a core part of the agent’s product experience and is accountable for whether it works for members. The product manager will partner closely with AI and machine learning engineers, designers, and researchers, shipping iterations weekly. The role combines product vision and roadmap ownership with hands-on work on agent quality, evaluation, tools, planning, memory, trust, rapid prototyping, and data-driven product decisions. The position is hybrid, performed both from home and from a LinkedIn office on select days according to team business needs. It can be based in San Francisco or Sunnyvale, California.

Requirements

BS/BA degree in a technology-related field or equivalent experience.
At least 4 years of experience in product management or an equivalent role.

Nice To Haves

Hands-on experience building agents or LLM-powered products and shipping them to real users.
Deep experience with evaluations, including building evaluation sets and rubrics, conducting error analysis, and using results to drive product decisions.
Strong understanding of agent capabilities and design, including 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, such as prompting, light scripting, and 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.

Responsibilities

Define the vision, strategy, and roadmap for an area of the agent, grounded in member needs and LinkedIn’s capabilities.
Own product quality end to end by defining quality criteria, building evaluation sets and rubrics with AI engineers, reviewing traces, and running iterative improvement loops.
Shape the agent harness with engineering, including its tools and skills, multi-step task planning, and use of memory and context across sessions.
Design for trust by determining when the agent acts autonomously or asks for input, and how members can view, correct, and approve its actions.
Prototype with new models and techniques, put working versions in front of members quickly, and use findings to determine what to build, remove, or expand.
Make data-driven decisions using data from evaluations, member research, and product metrics.
Partner across product, engineering, AI, design, and legal to deliver valuable, simple, and safe agent experiences.
Generate buy-in and excitement among key stakeholders and executives across LinkedIn.
Contribute to a team culture centered on high-velocity decision-making, care, and learning.