Why Harvey
Harvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:
Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.
Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.
World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.
Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.
Performance: 4x ARR in 2024.
Competitive compensation.
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 Processing 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 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.
Direct experience in architecting or scaling document ingestion and processing, search systems, or data infrastructure (e.g. OCR pipelines, Elasticsearch, vector databases).
Compensation Range
$250,000 - 300,000 USD
Please find our CA applicant privacy notice here.
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 interview-help@harvey.ai.
