Why Harvey

At Harvey, we’re transforming how legal and professional services operate — not incrementally, but 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 for decades to come.

This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.

Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.

At Harvey, the future of professional services is being written today — and we’re just getting started.

Role Overview

As a Senior Product Operations Manager at Harvey, you will be the connective tissue between Product, Engineering, and Go-to-Market teams — turning strategy into execution across our entire product lifecycle. You'll build and scale the operating systems that help our product teams make better decisions, ship with confidence, and drive measurable impact for law firms and in-house legal teams pushing the frontier of AI adoption.

You'll work as an extension of product leadership, balancing hands-on execution with strategic initiatives. This is a role for someone who builds from 0 to 1, thrives in ambiguity, and creates structure where none exists.

What You’ll Do

• Inputs to Product Teams — Ensuring teams have the information they need to make great decisions

  • Build and maintain Voice of Customer systems that synthesize feedback from law firm partners, in-house clients, CSMs, and sales into actionable product signals

  • Establish rigorous mechanisms for measuring product success and user impact, including analytics dashboards, KPIs, and clear hypotheses

  • Create high-leverage engagement points with customers and partners throughout the product lifecycle — from alpha through post-GA

  • Streamline key decision points across teams, reducing friction and improving prioritization quality

  Ops of the Product Org — Creating the operating systems that enable product teams to thrive

  • Own and improve core product development processes, tooling, and team rituals (planning cycles, monthly reviews, roadmap prioritization, etc.)

  • Build reliable run-of-business systems that scale as Harvey grows — launch calendars, intake frameworks, RACI structures

  • Drive cross-functional alignment between Product, Engineering, Marketing, Sales, and Customer Success

  • Facilitate roadmap planning by coordinating stakeholder inputs and maintaining transparency across the org

  Outputs from Product Teams — Amplifying product impact by connecting what we build to those who need it

  • Design and run Early Access Programs and alpha testing programs that validate product-market fit and surface refinement signals before broad release

  • Own launch coordination end-to-end — ensuring timely, high-confidence rollouts with clear success metrics and post-launch monitoring

  • Maintain cross-team roadmap visibility that keeps GTM, Legal, and leadership aligned on what's shipping and why

  • Make it clear across Harvey what Product is building, how it's progressing, and what's coming nextd optimize operational workflows to ensure agility and scalability as the company grows.

What You Have

• 5+ years in Product Operations, Product Management, or a closely related operational role at a high growth tech or SaaS company

• You've built processes and programs from scratch and scaled them thoughtfully — not just inherited and maintained them

• Experience working with AI-native products, ideally in a domain where model quality and output reliability are central to the user experience

• Strong ability to translate complex qualitative and quantitative data — usage metrics, feedback themes, retention signals — into clear recommendations and roadmap inputs

• Proven ability to drive alignment across Product, GTM, and Engineering without direct authority