Senior Product Operations Manager, Evaluation Quality

At Harvey were transforming how legal and professional services operate. By combining frontier agentic AI an enterprise-grade platform and deep domain expertise were 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. Were 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 Jobs Not Finished. We act quickly on clear judgment over perfect information we believe simplicity is what scales and were never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive wed love to build with you.

At Harvey the future of professional services is being written today and were just getting started.

Were looking for a senior operator to own the quality bar behind Harveys 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 Datas 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 youll work alongside our Evaluation Operations Manager (who runs throughput and coordination) and partner closely with Applied Legal Researchers Product Engineering and AI Research. Youll set the standard for what good looks like across eval data and methodology and own the data analyses to make conclusions that teams will rely on building the stakeholder trust that lets EPD act on the signal.

• Own the quality bar for Harveys human evaluations: define what good looks like for eval methodology and data analysis and produce decision-grade outputs for EPD

• Author and maintain the evaluation guidelines instructions and databases that contract attorneys work from

• Standardize and streamline rubric and evaluation design into repeatable templates and one documented methodology partnering with Applied Legal Research (ALR) who supplies feature-specific legal depth

• Own contract-attorney quality: onboarding calibration training inter-rater reliability and the feedback loop (including benchmarks and gold references) that keeps judgment consistent across attorneys and over time

• Conducting quantitative and qualitative statistical analyses diagnosing error states investigating root causes and turning raw eval results into a structured prioritized signal Product and ALR can act on

• Run QA on vendor and contract-attorney deliverables against a defined bar before results inform a launch decision

• Ensure the quality bar holds across jurisdictions and non-English geographies as coverage expands

• Establish one standard documented way to analyze eval results and build lightweight operational dashboards to track rater capability and eval-program health

• Support ALR in a review step that certifies an evaluation is sound before it scales to contract attorneys

• Partner with ALR and Analytics to determine where human eval aligns with online signal and where it can provide expanded insights

• 6 years in product operations research operations evaluation/QA operations or quality program management

• A track record of owning quality inputs (guidelines instructions benchmarks QA procedures) for complex expert-driven or human-in-the-loop work

• Experience onboarding training and calibrating a distributed pool of expert raters annotators or reviewers and running the feedback loop that improves their quality over time

• Enough grounding in measurement concepts (calibration inter-rater reliability sampling rubric design) to independently set up and own the quality of our evaluation loop yourself

• Experience with running quantitative and qualitative data analyses interpreting and running statistical tests on evaluation data (natively or with AI tool support) and communicating conclusions to various stakeholders

• A record of scaling and streamlining evaluation quality processes under shipping pressure with a bias toward documentation and reproducibility over one-off analysis

• Ability to work deeply with domain experts (e.g. ALR / lawyers) and translate nuanced judgment into repeatable documented standards

• Strong cross-functional coordination across Product Engineering Research ALR and data providers/vendors

• Clear communicator who can build credibility and trust with stakeholders

• Bias to action and high ownership from writing the guideline to auditing a vendor batch line by line

• Experience in legal tech or working with domain experts in regulated industries

• Experience owning quality across multiple markets languages or jurisdictions

• Built calibration inter-rater reliability or capability-tracking systems for annotation or evaluation pipelines

• Experience transitioning evaluation work in-house or otherwise improving evaluation ROI

• Familiarity with LLM-as-judge / automated evaluation used alongside human eval

• Early employee at a hyper-growth startup or experience at a world-class product or platform operations org

$155400 - $233200 USD

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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

Required Experience:

Manager