Senior Product Manager, Data & Retrieval
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Job Location:
San Francisco, CA - USA
Monthly Salary:
$ 178 - 241
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
Why Harvey
At 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 1000 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 Overview
Harvey is building the AI platform for the worlds top legal and professional services teams. Our users rely on fast accurate access to external legal data to perform research that underpins their most important work. As we scale our Data & Knowledge organization sits at the center of this missionturning raw fragmented information into intelligent systems that power research and reasoning at global scale.
Our Data Team is responsible for ingesting structuring understanding and retrieving millions of documents across jurisdictions formats and domains. Whether public or private offline or online our mission is to organize the worlds legal information and make it accessible reliable and useful.
Were looking for a Product Manager with deep search retrieval and data platform expertise to lead the next generation of Harveys data engine as we 100 our capabilities. You will shape the strategy roadmap and architecture behind the systems that make advanced reasoning possible. The team owns end-to-end RAG (retrieval-augmented generation) pipelines across domains such as case law legislation tax code and IP law across 50 jurisdictions. As generation quality continues improving retrieval quality has become the new frontierand one of Harveys highest priorities.
If youre passionate about large-scale data problems complex information retrieval and building the backbone of cutting-edge AI systems wed love to meet you.
What Youll Do
Drive the roadmap and strategy for Harveys Data Factory ensuring we scale our data 100x through new platforms that build the legal index of the world
Work with internal operations and external data providers to methodically expand coverage accelerate execution and improve dataset quality.
Own and evolve Harveys end-to-end data architecturefrom ingestion and transformation to storage indexing and retrievalensuring performance reliability and scalability for LLM-powered products.
Partner with Applied AI engineers to build and optimize retrieval systems embeddings search models and evaluation frameworks.
Architect and oversee large-scale ingestion pipelines that aggregate normalize and continuously update millions of heterogeneous legal documents across global jurisdictions.
Collaborate cross-functionally with Product Engineering Applied AI Research and Platform teams to deliver high-quality production systems that support reasoning summarization and legal research workflows.
What You Have
5 years of experience building or managing search retrieval recommendation or data platforms at scale.
Experience working with complex heterogeneous or domain-specific datasets with structured unstructured data.
Understanding of modern retrieval methods including hybrid search (lexical vector) dense retrieval re-ranking embeddings chunking strategies and index optimization.
Hands-on experience with LLMs or RAG frameworks (evaluation grounding hybrid pipelines query rewriting LLM-as-a-judge retrieval metrics).
Ability to partner with engineers on technical architecture with enough depth to challenge assumptions propose solutions and influence design.
A product mindset for searchbalancing user needs domain complexity and system constraints to propose high-leverage improvements.
Compensation Range
$178500 - $241500 USD
Please find our CA applicant privacy notice here.
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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:
Senior IC
Key Skills
- Time Management
- Data Analytics
- Analytical
- Agile
- Requirement Gathering
- Strategic thinking
- Visio
- Communication
- Problem Solving
- Market Research
- UML
- Cross Functional Teams
About Company
Professional Class AI – Harvey is the platform built to meet the standards of the world’s leading professional service firms.
