Harvey AI Inc. logo

Senior Product Operations Manager, Evaluation

Job Overview

Location

San Francisco

Job Type

Full-time

Category

Software Engineering

Date Posted

June 13, 2026

Full Job Description

đź“‹ Description

  • • Build and scale the systems that power model and product evaluations across Harvey’s AI platform
  • • Run intake, triage, and prioritization for the evaluation request queue, directing capacity to the highest-value coverage gaps
  • • Embed evaluation workflows and readiness checkpoints directly into the product development lifecycle
  • • Create and maintain the single source of truth for evaluation status, results, historical data, and launch readiness
  • • Translate expert-designed evaluation methodologies into scalable, repeatable operational processes
  • • Manage human data providers and establish an internal contract-attorney pipeline to ensure evaluation quality meets legal standards
  • • Collaborate with Engineering and AI Research teams to improve evaluation tooling, automation, and data dashboards
  • • Drive evaluation readiness for major product and model launches across multiple geographies and legal jurisdictions
  • • Document and operationalize evaluation governance frameworks as complexity and scale increase
  • • Define and implement processes to ensure model accuracy, reliability, and trust at a global scale
  • • Work closely with Applied Legal Researchers, Product, Engineering, and AI Research to operationalize evaluation as a first-class product capability
  • • Diagnose and resolve issues in evaluation pipelines, including writing documentation, troubleshooting data flows, and refining metrics
  • • Apply an ROI-focused mindset to prioritize evaluation efforts and allocate resources efficiently
  • • Translate technical evaluation nuances for diverse stakeholders including legal experts, product managers, and engineers
  • • Maintain high standards of clarity, rigor, and reproducibility in all evaluation systems and documentation
  • • Navigate ambiguity and bring structure to rapidly evolving evaluation requirements in a scaling AI company
  • • Ensure compliance with jurisdiction-specific legal standards in evaluation design and execution
  • • Support global expansion by adapting evaluation frameworks to regional legal and regulatory contexts

🎯 Requirements

  • • 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

🏖️ Benefits

  • • Opportunity to build the evaluation infrastructure of a global AI company at a critical inflection point
  • • Work alongside world-class investors and a team committed to excellence, decisiveness, and simplicity
  • • High ownership role with unmatched personal, professional, and financial growth potential
  • • Collaborative environment focused on mission-driven work and pushing boundaries in legal AI

Skills & Technologies

Python
Senior
Onsite

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About Harvey AI Inc.

Harvey AI Inc. provides a generative artificial-intelligence platform engineered specifically for the legal profession. The software integrates with law-firm workflows to automate contract drafting, review, due-diligence and regulatory research, producing lawyer-quality language grounded in up-to-date statutes and precedents. Harvey combines large language models trained on legal corpora with secure, private-cloud deployment and firm-specific fine-tuning to maintain confidentiality and compliance. Clients range from global law firms to in-house legal departments seeking efficiency gains without compromising accuracy or security. The company was founded in 2022 and is headquartered in San Francisco, California.

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