高级产品运营经理，评估质量
Senior Product Operations Manager, Evaluation Quality
为什么选择Harvey
在Harvey，我们正在改变法律和专业服务的运作方式。通过结合前沿的代理AI、企业级平台和深厚的行业专业知识，我们正在重塑未来几十年关键知识工作的完成方式。
这是一个难得的机会，帮助打造一家具有代际影响力的公司，在真正的转折点上共同成长。我们拥有强大的产品-市场匹配度和世界级的投资支持。我们正在快速扩展，并实时定义一个全新的领域。这项工作充满雄心，标准很高，个人、职业和财务上的成长机会是无与伦比的。
我们的团队行动迅速，有责任感，并对使命有着深刻的承诺——以高强度运作，贴近客户，互相推动追求卓越。我们秉持三个价值观：果断、简洁、工作未完成。我们在清晰判断的基础上快速行动，而非等待完美信息；我们认为简洁才是可扩展的；我们从不满足于现状。如果你希望与志同道合的人一起完成职业生涯中最出色的工作，我们期待与你携手前行。
在Harvey，专业服务的未来正在今天被书写——而我们才刚刚开始。
职位概览
我们正在寻找一位高级运营人员，负责管理Harvey人工评估的质量标准。随着我们全球化的扩展，评估工作的数量增长了10倍，但只有输出值得信赖，数量才有意义。这个角色使人类数据的信号达到决策级：足够严谨、校准和可重复，使得产品、工程和AI研究团队能够据此进行开发并发布产品。
作为评估运营团队的一员，你将与评估运营经理（负责吞吐量和协调）一起工作，并与应用法律研究员、产品、工程和AI研究团队紧密合作。你将制定评估数据和方法论中“良好”的标准，并负责数据分析以得出团队依赖的结论，建立利益相关者的信任，使EPD能够基于这些信号采取行动。
你将负责：
- 负责Harvey人工评估的质量标准：定义评估方法和数据分析中“良好”的标准，并为EPD生成决策级输出
- 编写和维护评估指南、说明和数据库，供合同律师使用
- 将评分标准和评估设计标准化并流程化，形成可重复的模板和一份文档化的评估方法，与应用法律研究团队合作
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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 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 own the data analyses to make conclusions that teams will rely on, building the stakeholder trust that lets EPD act on the signal.
WHAT YOU'LL DO
- Own the quality bar for Harvey’s 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
WHAT YOU HAVE
- 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
BONUS POINTS
- 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
COMPENSATION
$155,400 - $233,200 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
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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 accommodations@harvey.ai