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Staff Product Manager, Agents

Full-time Hybrid work

Publication date: 12/11/2026

At Harvey, we're transforming how legal and professional services operate end to end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we're reshaping how critical knowledge work gets done. Our Agents team sits at the center of this mission, shaping the core experience through which users interact with Harvey and turn AI capabilities into useful, trustworthy work. We're looking for a Product Manager to help drive our core product experience, defining how users create, refine, and verify work with Harvey. Users need to understand its sources, evaluate its accuracy, and shape it into something they can use. You'll own a key piece of that experience, connecting what users see and do with the underlying agent capabilities that power it.

Responsibilities

Own the strategy, roadmap, and execution for a core area of Harvey's agent experience, taking problems from discovery through launch and iteration; Build experiences that help users edit, refine, and verify AI-generated work, making it easy to inspect supporting evidence and identify what needs closer review; Partner with Design, Product Engineering, Applied AI, Research, and Platform teams to solve problems across the interface and underlying agent behavior; Turn broad product opportunities into focused releases, testing the most important assumptions early and using customer feedback and usage data to guide investment; Keep the experience simple as Harvey's capabilities expand, making deliberate decisions about what to surface, what to automate, and where users need control

Requirements

7+ years of product management experience building user-facing products, ideally in consumer, prosumer, or product-led B2B environments; Experience making complex workflows intuitive, with examples of how you simplified an experience while preserving the capabilities users needed; Experience owning problems that span the user interface and underlying systems, working with engineers to determine whether a problem requires a better interaction, a change in system behavior, or both; A track record of turning ambitious ideas into useful early releases, validating with users, and making clear decisions to expand, change direction, or stop; Evidence that you can learn an unfamiliar technical domain and take ownership of product decisions within it

Nice to have

Experience with AI or LLM-powered products
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