About PointOne
We’re building an AI system to automate timekeeping and firm intelligence for law firms, starting with timekeeping and billing. The business of law is rapidly changing in response to AI. We’re using our entry wedge — and the rich data stream it generates — to help firms transition their businesses into the AI era.
Our team includes alumni from Fenwick & West, Applied Intuition, and Google. We recently raised a seed round from Y Combinator, Bessemer, 8VC, General Catalyst, and several of our early customers — who asked to invest after using the product.
We’re seeing significant pull from the market and can’t keep up with customer demand. That’s where you come in.
Who you are
You’re a new or recent graduate with a strong technical foundation and real-world experience building software in high-performance environments. You’re excited to take on outsized responsibility and build product from day one.
You have:
A CS degree from a top university
Software engineering internship experience at high-performance companies (e.g., venture-backed startups or top-tier tech companies)
Strong product sense and attention to user experience
High ownership mentality and the ability to operate autonomously
A track record of building and shipping things, whether through internships, personal projects, or open-source contributions
Excitement to work in-person at an early-stage company, talk to customers regularly, and get your hands dirty across the stack
What you'll do
You’ll work directly with the founders and early team to build a category-defining product, scale it to massive enterprises, and grow into a key contributor and future leader.
Own and ship high-impact features end-to-end
Talk directly to customers to identify pain points and rapidly iterate on solutions
Deploy production code frequently — often multiple times a day
Work across our stack (Go, React/Typescript, AWS serverless) to move fast and make things real
Contribute to the culture, product vision, and future of the company
Our tech
We have a fully serverless backend built on AWS, composed of Go microservices. Our frontends are built with React/Typescript and deployed across web, desktop, and mobile. We build our own retrieval-augmented generation (RAG) pipelines to power AI features.
Day in the life
Here’s what a typical day might look like:
9:30 AM – Join a customer call with a managing partner at a law firm who asks if we support Slack integration. We don’t yet — but you jot it down and start planning.
11:27 AM – A sudden capacity issue slows down some users. You jump in with the team to identify the bottleneck and deploy a fix.
2:43 PM – The Slack feature is complete. You ship it to prod and email the firm to let them know.
3:00 PM – Lead a new customer onboarding session, taking note of their reactions and pain points.
5:45 PM – Team dinner. Conversation ranges from engineering war stories to current events.
6:23 PM – With the day’s work handled, you dive into an experiment using vision models to improve our billing assistant.