Senior Product Operations Manager, Evaluation Quality

Why HarveyAt 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 OverviewWe’re looking for a senior operator to own the quality bar behind Harvey’s human evaluations. As we scale globally, the volume of eval work is growing 10x, but volume only matters if the output is trusted. This role makes Human Data’s signal decision-grade: rigorous, calibrated, and reproducible enough that Product, Engineering, and AI Research act on it to ship.As a member of our Evaluation Operations team, you’ll work alongside our Evaluation Operations Manager (who runs throughput and coordination) and partner closely with Applied Legal Researchers, Product, Engineering, and AI Research. You'll set the standard for what "good" looks like across eval data and methodology, and certify that results are sound before teams rely on them, building the stakeholder trust that lets EPD act on the signal.What You'll DoOwn the quality bar for Harvey’s human evaluations: define what “good” looks like for eval data and make outputs decision-grade for EPDAuthor and maintain the evaluation guidelines, instructions, benchmarks, and gold references that contract attorneys work from, and serve as the arbiter on ambiguous or disputed judgmentsStandardize and streamline rubric and evaluation design into repeatable templates and one documented methodology, partnering with Applied Legal Research (ALR), who supplies feature-specific legal depthOwn contract-attorney quality: onboarding, calibration training, inter-rater reliability, and the feedback loop that keeps judgment consistent across attorneys and over timeDefine and maintain the failure-mode / error taxonomy that turns raw eval results into a structured, prioritized signal Product and ALR can act onRun QA on vendor and contract-attorney deliverables against a defined bar before results inform a launch decisionEnsure the quality bar holds across jurisdictions and non-English geographies as coverage expandsEstablish one standard, documented way to analyze eval results, and build lightweight operational dashboards to track rater capability and eval-program healthSupport ALR in a review step that certifies an evaluation is sound before it scales to contract attorneysPartner with ALR and Analytics to determine where human eval aligns with online signal and where it can provide expanded insightsWhat You Have6+ years in product operations, research operations, evaluation/QA operations, or quality program managementA track record of owning quality inputs (guidelines, instructions, benchmarks, QA procedures) for complex, expert-driven or human-in-the-loop workExperience onboarding, training, and calibrating a distributed pool of expert raters, annotators, or reviewers, and running the feedback loop that improves their quality over timeEnough grounding in measurement concepts (calibration, inter-rater reliability, sampling, rubric design) to independently set up and own quality yourselfComfort with interpreting evaluation data, natively or with AI tool supportA record of scaling and streamlining quality processes under shipping pressure, with a bias toward documentation and reproducibility over one-off analysisAbility to work deeply with domain experts (e.g., ALR / lawyers) and translate nuanced judgment into repeatable, documented standardsStrong cross-functional coordination across Product, Engineering, Research, ALR, and data providers/vendorsClear communicator who can build credibility and trust with stakeholdersBias to action and high ownership, from writing the guideline to auditing a vendor batch line by lineBonus PointsExperience in legal tech or working with domain experts in regulated industriesExperience owning quality across multiple markets, languages, or jurisdictionsBuilt calibration, inter-rater reliability, or capability-tracking systems for annotation or evaluation pipelinesExperience transitioning evaluation work in-house or otherwise improving evaluation ROIFamiliarity with LLM-as-judge / automated evaluation used alongside human evalEarly employee at a hyper-growth startup, or experience at a world-class product or platform operations orgCompensation$155,400 - $233,200 USDDepending on your location, an