Staff Product Manager, Harvey
Agent Platform
CA$132.8-199.2k
Additionally, this role is eligible to participate in our equity plan
Domain-specific AI for legal and professional services
Be an early applicant
Domain-specific AI for legal and professional services
501-1000 employees
Be an early applicant
CA$132.8-199.2k
Additionally, this role is eligible to participate in our equity plan
501-1000 employees
Company mission
To help professionals develop expertise, faster.
Role
Who you are
- 7+ years of product management experience, with meaningful time owning a user-facing product end-to-end (not just features within someone else’s product)
- Experience building 0-to-1 products or leading major product pivots where the problem definition was as important as the solution
- Strong product instincts for UX: you care about how things feel to users, not just whether they technically work
- Comfort with technical depth. You don’t need to write code, but you should be able to engage with engineers on system design, architecture tradeoffs, and what’s actually hard
- Experience shipping to enterprise customers with real governance, compliance, or regulatory constraints
- Ability to operate in ambiguity, form strong opinions quickly, and update them when the evidence changes
- Bonus: experience with AI/ML products, legal technology, or professional services
What the job involves
- Harvey’s Agent platform is the system that lets lawyers describe work in natural language and have Harvey execute it: pulling precedent, running analysis, drafting documents, enforcing firm-specific rules, all orchestrated by AI agents rather than manual step-by-step workflows
- We’re looking for a Staff Product Manager to own a core surface within this platform
- You’ll define how lawyers interact with agents, how agents get created and discovered, or how the underlying platform makes both possible
- The exact scope will be shaped by your strengths and where the team’s needs are sharpest when you join, but the throughline is the same: you’ll be responsible for a product that hundreds of thousands of legal professionals use to do substantive work
- This is 0-to-1 product work in a space where the patterns haven’t been written yet
- Agents in legal are not chatbots with a different skin
- They touch real client matters, real ethical walls, real documents that go to courts and counterparties
- Getting this right means building trust systems, verification flows, and governance infrastructure alongside the core experience
- You’ll work closely with engineering, design, applied legal research, and customer-facing teams to ship products that lawyers actually adopt
- We move fast, we ship with design partners, and we expect product leaders to be hands-on with the details while holding a clear vision for where the product is going
- Own the end-to-end product lifecycle for a core surface within Harvey’s Agent platform, from problem definition through launch and iteration
- Define and drive the product vision for how lawyers interact with AI agents, grounded in real user workflows and firm-level deployment constraints
- Work directly with engineering, design, and applied legal research to ship high-quality product on an aggressive timeline
- Navigate enterprise complexity: ethical walls, audit trails, governance, multi-stakeholder approval flows. These aren’t afterthoughts here, they’re the product
- Partner with GTM to shape how the product gets positioned, demoed, and adopted by the world’s largest law firms and in-house legal teams
- Make hard prioritization calls with imperfect data in a fast-moving competitive landscape
Our take
The explosive popularity of generative AI tools has seen specialized solutions popping up for all kinds of industries. Hoping to help supercharge efficiency and productivity for legal teams, Harvey supplies generative AI that can assist with documentation, as well as aid research and optimize workflows.
Via natural language instructions, Harvey helps draft and analyze legal documents. It can also answer complex questions across large document sets, or even handle research queries that cover multiple domains in legal, regulatory and tax.
Its ability to support legal practitioners as if it's another member of the team is what makes Harvey particularly interesting. This approach has seen the company raise substantial funding, reaching Unicorn status in 2024. Funds are now being used to expand to new geographies, grow headcount and further collect and curate data to train more “domain-specific” AI models.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 10 rounds)
Mar 2026
$200m
LATE VC
Oct 2025
$59m
GROWTH EQUITY VC
Total funding: $1.2bn
Company HQ
Financial District, San Francisco, CA
Leadership
Winston Weinberg
(Co-Founder & CEO)Graduated with a Juris Doctor from the USC Gould School of Law, then spent 1 year as an Associate at O'Melveny & Myers before founding Harvey.
Gabe Pereyra
(Co-Founder & President)Previously worked as a Research Scientist at Meta and DeepMind. Also spent a year as a Brain Resident at Google.
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