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Basis AI
New York, NY, United States
Source: Basis AI careers · View original posting
From Basis AI's posting. “We” and “our” refer to the employer.
Basis builds real agents that do real work in the real economy. Our agents operate for hours at a time, performing end-to-end work for some of the largest accounting firms in the world.
We recently raised $100M at >$1B valuation and are racing to deploy the most advanced applied ML at production scale.
Our investors include: Khosla Ventures (Keith Rabois & Vinod Khosla), Accel (Miles Clements), Google Ventures, Nat Friedman & Daniel Gross, Adam D'Angelo, Jeff Dean, Jack Altman, Noam Brown, Kyle Vogt, Amjad Masad, Clem Delangue and many other operators/technical leaders.
"Basis is on the frontier of building production-grade, long-horizon agents.
They've pushed the limits of what we thought our models could do on real-world, economically valuable, complex accounting tasks. They've been a great collaborator in helping us shape what the future of agents looks like." — Prashant Mital, Applied AI Lead, OpenAI
📍 Location: NYC, Flatiron office. In-person team, five days a week.
Many of the largest firms in the country run real audit work on Basis today. Agents execute procedures, prepare workpapers, and complete testing that used to consume entire teams, and we're still early. We work at the frontier of what applied AI can do, and audit is some of the most demanding territory there is: work that has to be right, defensible, and held to professional standards.
This role works cross-functionally across the organization to ensure our audit quality meets today's standards, and the standards we believe an AI-forward profession will demand. The hardest, most consequential problems in auditing are being worked on here, right now. You'd be at the center of them.
Experience working closely with technology teams to get methodology into the firm's audit tools: content, tailoring logic, diagnostics.
Implementation experience: you've rolled a methodology, platform, or new standard out across a practice and lived what adoption actually takes.
Strategic range: comfortable going deep on a practice aid one minute and can help shape product direction the next. Grounded in how audits work today, but not bound by it.
You've already been thinking about what AI does to this profession, not waiting to be told.
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