Build the core platform: design scalable systems to process contracts, develop agentic AI/LLM tools for contract review, set technical priorities with founders, establish maintainable codebase, and recruit/mentor engineers.
Welcome to Crosby, the next generation law company.
The Role
What You’ll Do
We're a team of technologists and legal experts working side by side to reimagine corporate legal services from the ground up. We build proprietary technology and human-in-the-loop workflows to radically enhance the lawyer-machine relationship. We want to review complex documents, for example, faster than ever and with perfect quality.
We believe:
- A great legal system is the watermark of a great society.
- Legal work is art and science. We want to discover the frontier between the two and codify the scientific parts, which is a magnificent puzzle.
- Selling work – not software – is the best way to realize the productivity gains of GenAI for professional services.
- In an in-person culture at our NYC office.
Crosby was founded by Ryan (Penn, Stanford Law, ex-Cooley, former GC) and John (Penn M&T, ex-Ramp, ex-Google).
As a Founding Engineer, you’ll have the unique opportunity to define and build the core technology stack that powers Crosby’s platform. You’ll work across the stack—building the robust back-end systems and tooling interfaces needed to deliver on our vision.
In this role, you’ll collaborate directly with the founders, define technical priorities, and ensure the scalability of our platform. You'll have a direct impact on our product and user experience as we create tools to make contract review faster and more efficient.
- Design and implement scalable systems to process contracts at scale.
- Build bleeding-edge agentic AI tools to help the Crosby Legal team review contracts faster.
- Work closely with the founders and cross-functional teams to define and execute on technical priorities.
- Establish the foundation for a robust and maintainable codebase as we grow.
- Mentor and recruit engineers to help build out the team.
- Experience: 3+ years of engineering experience, ideally including Python, TypeScript. Bonus if experience with NLP, LLMs, RL, and Information Theory. Optional: Experience with modern front-end frameworks (e.g., React, Vue, or Svelte).
- Problem-focused: Strong sense of the problem behind a problem, and attention to detail in delivering high-quality products.
- Builder mindset: Excited about the opportunity to create and scale systems from the ground up.
- Collaborative: Effective communicator who thrives in cross-disciplinary teams.
- Ownership: Driven to take responsibility for projects from ideation through execution.
- Curiosity: Passionate about learning and experimenting with new technologies.
- Competitive salary and equity compensation.
- Comprehensive health, dental, and vision insurance.
- Unlimited PTO
- In-person team in NYC with a collaborative, high-energy environment.
Apply now to join Crosby and be part of transforming the legal landscape.
Similar Jobs
.png)
Healthtech • Social Impact • Telehealth
Build Sailor Health’s foundational data platform from scratch. Responsibilities include developing Snowflake and dbt pipelines integrating EHR, CRM, and communications data; creating data-powered web applications; automating clinical and billing workflows with Python; analyzing therapy transcripts and patient data using AI and machine learning; tracking clinical outcomes; and designing scalable data architectures in collaboration with clinicians, engineers, founders, and other teams.
Top Skills:
DbtFhirGraphQLPythonRest ApisSnowflakeSQL
Artificial Intelligence • Machine Learning • Marketing Tech • Natural Language Processing • Sales • Software
Own product features end-to-end across web app, GraphQL API, and embeddable components. Design schemas and APIs, build backend and frontend, write tests, monitor real-user behavior, and ship weekly. Establish shared component library, design system, and testing patterns. Optimize performance and leverage AI tooling to accelerate engineering and product collaboration.
Top Skills:
FastapiFigmaGraphQLPostgresPythonReactStorybookStrawberry GraphqlTailwindTypescript
Artificial Intelligence • Machine Learning • Marketing Tech • Natural Language Processing • Sales • Software
Design and ship production LLM features for a SaaS product: build customer intelligence from recordings and text, prioritize testimonials using metadata, create AI-powered surveys/interviews, iterate via research, prototyping, deployment, and evaluation. Own technical decisions and deliver measurable outcomes working closely with engineering leadership and customers.
Top Skills:
Distributed SystemsEval FrameworkLangchainLanggraphLlmsPythonVector Databases
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
