Senior Product Operations Manager, Evaluation

Harvey; San Francisco (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

Harvey, located in San Francisco, seeks a technical operator to drive the evaluation engine behind its AI platform. This high-responsibility role involves developing workflows and systems that ensure the accuracy and reliability of legal evaluations.

The ideal candidate has 4–7 years of experience in technical program management or product operations, and must possess strong communication skills and a high attention to detail.

Qualifications

• 4–7+ years in roles involving technical program management or product operations.
• Experience with ML/AI evaluations and benchmarking frameworks.
• Comfort with statistical methodologies and data interpretation tools.

Responsibilities

• Build and scale systems for model and product evaluations at Harvey.
• Manage human data providers to ensure evaluation quality meets legal standards.
• Embed evaluation workflows into product development.

Skills

Technical program management

ML/AI evaluations

Statistical methodologies

SQL or Python

Strong communication skills

Cross-functional coordination

Job description

At Harvey, we’re transforming how legal and professional services operate.

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 an 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

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 [e-mail].