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Engineering Manager, Doc Processing

Why Harvey

At Harvey, we’re 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, 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. With 700+ customers in 58+ countries, 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 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 we’re just getting started.

Role Overview

Harvey is building the future of legal work, and we’re looking for an Engineering Manager to help lead the charge. Our Document Platform team sits at the core of our platform—enabling our AI systems to make sense of massive troves of legal documents. From OCR to vector storage, our systems must be fast, accurate, and scalable to meet the demands of the top law firms in the world.

You’ll lead a team of exceptional engineers to extend our capabilities, push the boundaries of what’s possible in document understanding, and ensure our infrastructure scales with our users.

We move with urgency, bias toward simplicity, and expect our leaders to be hands-on when needed. If you’re energized by ownership, decisive execution, and solving real user problems, we'd love to hear from you.

What You'll Do

  • Lead and grow a team of world-class engineers working on document ingestion, understanding, and retrieval.

  • Define and execute a long-term technical roadmap for our document processing systems that aligns with Harvey’s product vision and the needs of our customers.

  • Collaborate closely with Product, Infrastructure, and Applied AI teams to design robust systems that bridge cutting-edge research and production readiness.

  • Stay hands-on: unblock engineers, participate in architecture reviews, and dive into code when needed.

  • Cultivate a culture of engineering excellence, thoughtful experimentation, and continuous improvement.

What You Have

  • 2+ years of experience in a software engineering management role, leading backend teams operating in technically complex domains.

  • A track record of leading high-performing, engaged engineering teams.

  • A strong foundation in backend systems, with 5+ years of hands-on experience designing and operating distributed systems in a cloud environment.

  • Ideally, direct experience in architecting or scaling document ingestion and processing, search systems, or data infrastructure (e.g. OCR pipelines, Elasticsearch, vector databases).

Compensation Range

$260,000 - $330,000 USD

Please find our CA applicant privacy notice here.

#LI-ML1

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 [email protected]

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Average salary estimate

$295000 / YEARLY (est.)
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$260000K
$330000K

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Harvey is a trusted generative AI company headquartered in San Francisco, California. We provide a suite of AI products tailored to lawyers and law firms across practice areas and workflows.

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Full-time, onsite
DATE POSTED
December 28, 2025
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