About Basis

Basis equips accountants with a team of AI agents to take on real workflows.

We have hit product market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.

Built in New York City. Read more about Basis here.

Why join

• World class investors: We're backed by Keith Rabois from Khosla Ventures alongside Nat Friedman, Daniel Gross, Aaron Levie, Adam D'angelo, Amjad Masad, Jack Altman, Jeff Dean, Larry Summers, Noam Brown and many leaders from the ML and fintech community. Check out our announcement for an expansive list

• Extremely fast growth: We’ve partnered with some of the largest accounting firms in the world, with revenue 10x-ing over the last 5 months

• Be part of building a company: We’re scaling the team fast and the business faster, meaning there will always be more responsibility than we have people. No better place to get a ton of responsibility and ownership on day 1

• In person & interdisciplinary: We operate on the frontier of what’s technically possible. That is why being in-person is a must. We’re bringing together the brightest minds from the top engineering, ML, and accounting teams to work together in our NYC office and build production quality agentic systems

• High risk: We believe the world is about to change in profound ways. We are building Basis to be on the cutting-edge of that change for a decade to come, and we have an appetite for the risk that comes with that. The journey has just begun

• Compensation: We aim to pay competitively for cash compensation and well above market for equity compensation because the whole team is all-in, and we want you to be too

📍 Location: NYC, Flatiron office. In-person team.

About the role

Modern AI lets software reason in real time. That overturns decades of UX assumptions. A chatbot bolted onto old workflows won’t cut it; we need interfaces where humans and agents co-create work, hand tasks back and forth, and build trust in real time.

You will lead Basis into that design unknown: design both the screens accountants see and the invisible UI “toolbox” agents draw from when they assemble those screens.

Imagine Basis 18 months out, then ship toward it one prototype at a time.

What you'll do

Build

• Design and redesign user-agent interactions across multiple surfaces, from first sketch to polished release

• Invent agent-ready UI primitives that agents can assemble, edit, and explain in real time

• Partner closely with product design on working agents seamlessly into new and existing products

Understand our many accounting users

• Building really good systems here start from deep user empathy. You will spend a portion of your time actually doing accounting work in Basis and becoming a user

Be a visionary

• Pair with founders to sketch Basis 2027, then distill it into quarterly bets

Learn at warp speed

• Immerse in what makes accounting awesome, emergent abilities of LLMs, and various UX for generally-intelligent software, then turn that insight into product decisions

What we're looking for

• Experience: 4–8 years designing complex SaaS or AI tooling, with at least one 0→1 launch (extraordinary talent with fewer years considered).

• First-principles reasoner: You break problems to fundamentals and rebuild without legacy bias.

• Agent-native builder: You already prototype with LLMs and can explain why they change UX.

• Use AI a lot: You should be using AI for your own work a ton. To learn, brainstorm, write, research etc.

• In-person NYC: You want the energy of five days a week on whiteboards with engineers, accountants, and founders.

• Learning velocity: New domains (hello, accounting!) and new tech click for you in weeks, not months.

• Whiteboard-to-Figma range: Comfortable sketching flows live with engineers, then polishing interactions on your own.

• Autonomy & ownership: Happy to make decisions without a committee and own a problem space end-to-end.

• All-in mindset: High-intensity culture, high-upside equity, and a wide-open canvas sound perfect.

Bonus points

• Accounting: Practical knowledge of accounting principles.

• Product ownership: Experience owning a product end-to-end