Why This Job is Featured on The SaaS Jobs
Harvey sits in the emerging class of SaaS platforms embedding generative AI into regulated, high-stakes workflows. The Document Processing domain is a foundational layer in that kind of product: it turns unstructured customer data into reliable inputs for retrieval and reasoning, and it must perform consistently under enterprise usage patterns. For SaaS professionals, this signals work that is close to core platform capability rather than peripheral feature delivery.
From a career standpoint, leading document ingestion, OCR, search, and vector storage systems builds durable SaaS engineering management experience. These are recurring problems across modern SaaS—data pipelines, latency and cost control, quality measurement, and productionizing ML-adjacent components—where the constraints are set by customer trust and operational reliability. The role also naturally reinforces cross-functional leadership, given the dependency between product expectations, infrastructure limits, and applied AI behavior.
This position tends to suit an engineering manager who stays close to architecture and is comfortable being hands-on when needed. It aligns with professionals who enjoy translating ambiguous platform requirements into roadmaps, and who prefer working on systems that underpin multiple product surfaces rather than a single application area.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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 in the early innings of a generational company. Joining early at a hypergrowth startup has proven to lead to exponential growth in responsibility, access, and ability. Apply here today!
