- Salary
- $140k – $200k/yr
- Location
- New York, New York, US
- Type
- Full-time
- Department
- Engineering
- Source
- Y Combinator
Description
About PointOne
PointOne is reinventing how law firms operate. We build infrastructure for the legal industry, powering timekeeping and billing systems used by law firms and government agencies.
Our AI timekeeper helps attorneys capture billable time automatically and provides rich insights that transform how legal work is managed. We're a Tier 1 venture-backed startup (Y Combinator, Bessemer, 8VC, General Catalyst) made up of engineers (Google, Applied Intuition, Stanford) and ex-attorneys. Alongside a recent Series A round and rapid customer adoption, we're expanding our GTM team to keep up with overwhelming demand.
Who you are
You have:
- Significant experience at hyper-growth startups and/or leading big tech companies
- A CS degree from a top university
- Strong product sense
- High degree of ownership and the ability to operate autonomously
You're excited to work in-person, talk to customers, and build products that professionals rely on every day.
Why you should join
Growth: Work with founders and customers in person to define and build new features. You’ll gain exposure to AI, serverless architecture, and the business of law while owning high‑impact projects.
Impact: A lot of AI tools have trouble showing real impact. We’re some of the stickiest tools in a law firm—and we deliver hard ROI to our customers. We’re also a multi-product company, meaning that you would be expected to drive technical and product decisions.
Support: We’re committed to building a supportive culture. Our rapidly growing and collaborative team values openness, high feedback, and continuous learning.
What you’ll do
- Develop novel AI products, providing customers with entirely new workflows.
- Work directly with customers (you’ll be visiting their offices with us) to understand needs, prioritize requests, and translate them into technical solutions.
- Prototype and integrate AI pipelines (e.g., retrieval‑augmented generation) to prove out new workflows.
- Lead by example through mentoring future hires, pairing, and code reviews. You'll shape our engineering culture.
