高级分析工程师, 产品
Senior Analytics Engineer, Product
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，我们正在重塑未来数十年的关键知识工作方式。
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，并实时定义一个新类别。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，承担责任，并对使命有深刻承诺——以高强度运作，贴近客户，并互相推动追求卓越。我们秉持三个价值观：果断、简洁和工作未完成。我们在清晰判断的基础上快速行动，而非等待完美信息；我们相信简洁才是可扩展的；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，我们期待与你携手共创。
在Harvey，专业服务的未来正在今天被书写——而我们才刚刚开始。
职位概述
我们正在寻找一位专注于产品的多功能高级分析工程师，负责构建事件数据模型，为Harvey的决策提供支持。在产品市场匹配度已经验证且各客户群体需求激增的背景下，你将设计干净、可靠的流程和语义数据模型，将原始事件转化为可用的洞察。作为我们团队的分析工程师，你将帮助演进我们的数据栈，倡导测试和文档的最佳实践，并与产品、GTM和管理层紧密合作，确保每个团队都能自信地回答自己的问题。如果你兼具工程严谨性和通过数据讲故事的热情，我们期待与你见面。
你将负责
- 使用dbt设计和构建可扩展的数据模型和流程，将原始数据转化为干净、可靠的数据资产，支持全公司的分析和决策。
- 定义并实现一个稳健的语义层（如LookML/Omni/其他），标准化关键业务指标、维度和数据产品，确保跨团队的利益相关者具备自助能力。
- 与产品、GTM、财务和高管团队跨职能合作，交付直观、一致的仪表盘和分析工具，展示业务健康状况指标
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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 versatile Senior Analytics Engineer focusing on Product to architect event data models that power decision-making at Harvey. With product-market fit already proven and demand surging across diverse customer segments, you’ll design clean, reliable pipelines and semantic data models that turn raw events into usable insights. As an Analytics Engineer on our team, you’ll help evolve our data stack, champion best practices in testing and documentation, and collaborate closely with product, GTM, and leadership to ensure every team can answer its own questions with confidence. If you combine engineering rigor with a love of storytelling through data we’d love to meet you.
WHAT YOU'LL DO
- Design and build scalable data models and pipelines using dbt to transform raw data into clean, reliable assets that power company-wide analytics and decision-making.
- Define and implement a robust semantic layer (e.g. LookML/Omni/Other) that standardizes key business metrics, dimensions, and data products, ensuring self-serve capabilities for stakeholders across teams.
- Partner cross-functionally with Product, GTM, Finance, and the Exec Team to deliver intuitive, consistent dashboards and analytical tools that surface business health metrics.
- Establish and champion data modeling standards and best practices, guiding the organization in how to model data for accuracy, performance, usability, and long-term maintainability.
- Partner with Product Managers, Engineers, and Data teams to design tracking plans for new product surfaces, ensuring events are implemented accurately, consistently, and with downstream analytics use cases in mind.
- Own the product event tracking strategy, including event naming conventions, property schemas, identity resolution, sessionization, versioning, deprecation, and documentation standards.
- Empower stakeholders with data by making analytical assets easily discoverable, reliable, and well-documented – turning complex datasets into actionable insights for the business.
- You’ll define the structure, taxonomy, governance, and modeling patterns for product event data, ensuring that user behavior, product usage, and customer journeys are captured consistently from instrumentation through analytics-ready models.
WHAT YOU HAVE
- 5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or similar field.
- Deep expertise in SQL, dbt, Python, Snowflake.
- Experience with modern BI tools like (Looker/Omni, or similar).
- Skilled at defining core business and product metrics, uncovering insights, and resolving data inconsistencies across complex systems.
- Strong familiarity with version control (GitHub), CI/CD, and modern development workflows.
- Bias for action – you prefer launching usable, iterative data models that deliver immediate value over waiting for perfect solutions.
- Strong communicator who can build trusted partnerships across Product, GTM, Finance, and Exec stakeholders.
Comfortable working through ambiguity in fast-moving, cross-functional environments.
- Balances big-picture thinking with precision in execution – knowing when to sweat the details and when to move quickly.
- Experience modeling high-volume, semi-structured product event data, including JSON payloads, nested properties, user/account identifiers, sessions, funnels, cohorts, and behavioral metrics.
- Experience with product analytics tools (Mixpanel, Segment, Amplitude)
BONUS
- Early employee at a hyper-growth startup
- Experience with or knowledge of AI and LLMs
- Data Engineering Experience
- Experience managing data warehouse (preferably Snowflake)
- Experience at world-class enterprise orgs (ex: Brex, Ramp, Stripe, Palantir)
COMPENSATION
$155,800 - $233,600 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
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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