What are the responsibilities and job description for the Engineering Manager, Document Processing position at harvey.ai?
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 $200 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and the OpenAI Startup Fund.
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 has found a massive product-market fit within the legal space, and we are significantly expanding the scale and capabilities of our offering as we grow. Many use cases in legal involve asking questions or extracting information from a collection of documents (either in-house documents, client documents, or publicly available data), so ingesting & processing documents for use in our AI systems is a critical component of our product. As we work with the biggest firms on their most complex projects, we envision building systems that seamlessly store, index, and process hundreds of millions of documents, and retrieve the right information in a fraction of a second.
In this role, you will lead and support a talented team of software engineers to improve the scale and capabilities of our existing systems, as well as build new systems as needed. This team will build at the boundary of what is possible in document understanding and incorporate new advancements in OCR, semantic chunking, and vector storage. The ideal candidate for this role will be a self-starter who has experience leading teams and managing engineers, but is also not afraid to roll up their sleeves and get their hands dirty to unblock the team in whichever way is needed.
What You’ll Do
Help grow the broader Engineering and Tech org through recruiting and shaping our culture.
Attract, recruit, and retain a strong team of software engineers.
Foster a culture of engineering excellence, paired with innovation and calculated risk-taking.
Develop and execute on a long-term roadmap to extend the scalability and capabilities of our document processing systems.
Work closely with partner teams and cross-functional partners to make sure the team’s solutions are aligned with overall business needs.
What You Have
At least 2 years of experience in a software engineering management role, leading teams operating in technically complex domains.
Proven track record of building highly engaged and high-performing engineering teams
5 years of experience as a software engineer working on and operating large-scale backend systems in a cloud environment.
A plus : Direct experience working on document ingestion and processing pipelines or search systems, such as Elasticsearch or vector databases.
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!
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