Director of Engineering, Product Data at Harvey

Why HarveyAt Harvey were transforming how legal and professional services operate not incrementally but end-to-end. 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. With 700 customers in 58 countries 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 is sharp motivated and deeply committed to the mission. We move fast operate with intensity and take real ownership of the problems we tackle from early thinking to long-term outcomes. We stay close to our customers from leadership to engineers and work together to solve real problems with urgency and care. If you thrive in ambiguity push for excellence and want to help shape the future of work alongside others who raise the bar we invite you to build with us.At Harvey the future of professional services is being written today and were just getting started.Role OverviewAt Harvey were building the AI platform for the worlds top legal and professional services teams. As we scale our data team sits at the heart of this missionturning raw data and research into robust intelligent systems that power reasoning at scale. Our Data Team powers Harveys ability to understand and leverage both public and private data at scale building the infrastructure that ingests transforms and retrieves millions of documents to make our AI systems smarter every day.Were looking for a Director of Engineering Product Data to lead this function into its next chapter. Youll shape the strategy architecture and team behind the systems that make advanced reasoning possible. The Data team owns end-to-end retrieval-augmented generation (RAG) stacks across complex domains including Case Laws Legislation and Tax codes across 50 international jurisdictions. As generation and reasoning improve retrieval quality has become the new frontier. Solving it at scale is one of Harveys top priorities.If youre excited by large-scale data engineering complex information retrieval and building the backbone of cutting-edge AI systems wed love to talk.What Youll DoLead and scale the Data organization from a single high-performing team into multiple specialized teams.Partner closely with leadership to define the strategic roadmap for Harveys data ecosystem and ensure it scales with our global growthOwn and evolve Harveys end-to-end data architecture from ingestion to transformation storage retrieval and delivery ensuring performance reliability and scalability to power LLMs and downstream applications.Design and oversee large-scale data ingestion pipelines that aggregate normalize and maintain data from thousands of heterogeneous publicly available legal and regulatory sources across global jurisdictions.Integrate private and partner data sources ensuring robust access controls lineage tracking and compliance with security and privacy requirements.Evaluate and implement data infrastructure technologies to support large-scale document processing embedding generation vector storage and retrieval optimization.Collaborate closely with the Applied AI team to drive experimentation and model improvements that directly enhance AI quality and differentiation across Harveys products.Drive the development of end-to-end research experiences that weave together our retrieval reasoning and UX layers transforming AI insights into intuitive lawyer-friendly workflows that redefine how professionals engage with complex information.Partner cross-functionally with Product Engineering Applied AI Research and Platform teams to deliver high-quality production-ready systems.What You HaveYou have 10 years of experience in data engineering data architecture or platform engineering with 5 years of leading high-performance teams.Youve led data or ML infrastructure teams through scale from startup to multi-team org.You have a proven track record of building and scaling distributed data systems handling large complex and heterogeneous datasets.You bring depth in backend data infrastructure or information retrieval with a strong appreciation for applied AI.You value clarity craftsmanship and high trust as the foundations of great engineering.Compensation Range$320000 - $360000 USDPlease find our CA applicant privacy notice here.#LI-KV1Harvey 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:Director Key Skills Go,Lean,Management Experience,React,Node.js,Operations Management,Project Management,Research & Development,Software Development,Team Management,GraphQL,Leadership Experience Employment Type : Full-Time Department / Functional Area: Engineering Experience: years Vacancy: 1 Monthly Salary Salary: 320 - 360