Senior Product Operations Manager
Harvey is hiring a Senior Product Operations Manager for a remote role open to applicants in United States. It pays $150k-$250k a year and Level rates it ; you can apply on Harvey.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- This is listed as a remote role.
- Level classes it as a senior role.
- Harvey has 357 other open roles on Level.
AI in this role
At Harvey, we’re transforming how legal and professional services operate. 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. We have 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 moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
Role OverviewAs 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 DoInputs 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 next.
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
Hands-on experience with launch coordination, EAPs, or customer feedback loops in a fast-moving product environment
You're a natural bridge builder: fluent in strategy, comfortable in the weeds, and skilled at creating clarity where none exists. Ambiguity doesn't slow you down — it's where you do your best work.
$150,000 to $250,000 USD
Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].
#LI-CD1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
How we rate this
Senior Product Operations Manager at Harvey rates 69 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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