Role at a glance
- Salary
- $150K – $210K/yr
- Location
- San Francisco, United States
- Work arrangement
- Remote
- Employment
- Full-time
- Experience
- 4–7+ years in technical program management, product operations, research operations, or evaluation/benchmarking roles
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Role Summary
This role sits on Harvey’s Product Operations team and is responsible for building and scaling the evaluation engine behind its AI platform. The role operationalizes evaluation methodologies and supports reliable, accurate, and jurisdictionally correct model and product launches globally.
What You'll Do
- Build and scale systems for model and product evaluations across Harvey
- Run intake, triage, and prioritization for the evaluation request queue
- Embed evaluation workflows and readiness checkpoints into the product development lifecycle
- Create a single source of truth for evaluation status, results, history, and launch readiness
- Manage human data providers and establish an internal contract-attorney pipeline
- Work with Engineering and Research to improve evaluation tooling, automation, and dashboards
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Experience with ML/AI evaluations, benchmarking frameworks, or scientific workflows; comfort with statistical methodologies and SQL or Python; strong business acumen and cross-functional coordination skills; ability to work with legal experts and operationalize complex evaluation methodologies; high attention to detail and strong communication skills.
Required
- 4–7+ years in technical program management, product operations, research operations, or evaluation/benchmarking roles
- Experience working with ML/AI evaluations, benchmarking frameworks, or scientific workflows
- Comfort with statistical methodologies and SQL or Python, or similar tools to interpret evaluation data (either natively or with AI tool...
- Strong business acumen with an ability to apply an ROI-focused mindset to scaling
- Ability to work deeply with legal experts and operationalize complex evaluation methodologies
- Strong cross-functional coordination skills across Product, Engineering, Research, and data providers/vendors
- High attention to detail and a bias toward clarity, rigor, and reproducibility
- Ability to navigate an evolving landscape and bring order to complex systems
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Why Harvey
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 Overview
We’re looking for a technical, systems-minded operator to build and scale the evaluation engine behind Harvey’s platform. As we expand globally, ensuring our models behave reliably, accurately, and jurisdictionally correctly is mission-critical—and evaluation complexity is increasing 10x.
As a member of our Product Operations team, you’ll work closely with Applied Legal Researchers, Product, Engineering, AI Research, and human data providers to operationalize evaluation methodologies and embed them into our product development lifecycle. You’ll create the workflows, systems, and tooling that make evaluation a first-class product capability at Harvey.
This is a high-ownership role for someone who thrives in ambiguity, loves building structure, and wants to help scale the evaluation infrastructure of a global AI company.
What You'll Do
Build and scale the systems that power model and product evaluations across Harvey
Run intake, triage, and prioritization for the evaluation request queue, routing capacity to the highest-value coverage gaps
Embed evaluation workflows and readiness checkpoints into the product development lifecycle
Create the single source of truth for evaluation status, results, history, and launch readiness
Turn Expert-designed evaluation methodologies into scalable, repeatable operational processes
Manage human data providers and stand up our internal contract-attorney pipeline, ensuring evaluation quality meets legal standards
Work with Engineering and Research to improve evaluation tooling, automation, and dashboards
Drive evaluation readiness for major product and model launches across geographies and jurisdictions
Document and operationalize evaluation governance as complexity increases
Help define how Harvey ensures model accuracy, reliability, and trust at global scale
What You Have
4–7+ years in technical program management, product operations, research operations, or evaluation/benchmarking roles
Experience working with ML/AI evaluations, benchmarking frameworks, or scientific workflows
Comfort with statistical methodologies and SQL or Python, or similar tools to interpret evaluation data (either natively or with AI tool support)
Strong business acumen with an ability to apply an ROI-focused mindset to scaling
Ability to work deeply with legal experts and operationalize complex evaluation methodologies
Strong cross-functional coordination skills across Product, Engineering, Research, and data providers/vendors
High attention to detail and a bias toward clarity, rigor, and reproducibility
Ability to navigate an evolving landscape and bring order to complex systems
Strong communication skills and comfort translating technical nuance for diverse stakeholders
Desire to do whatever it takes to make evaluation systems successful—from writing documentation to diagnosing pipeline issues
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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 [email protected]
About the company
Harvey
Startup
Harvey is an innovative technology company focused on streamlining the recruitment process through cutting-edge artificial intelligence solutions. By leveraging data-driven insights, Harvey enhances the connection between employers and job seekers, making it easier for companies to find the right talent efficiently. With a commitment to improving the hiring experience for both candidates and organizations, Harvey is at the forefront of transforming traditional recruitment methods into a more effective, user-friendly approach.
Harvey is an innovative technology company focused on streamlining the recruitment process through cutting-edge artificial intelligence solutions. By leveraging data-driven insights, Harvey enhances the connection between employers and job seekers, making it easier for companies to find the right talent efficiently. With a commitment to improving the hiring experience for both candidates and organizations, Harvey is at the forefront of transforming traditional recruitment methods into a more effective, user-friendly approach.