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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
This is a high-ownership role for someone who combines People fundamentals with systems thinking, strong business judgment, and the credibility to move senior leaders. You should enjoy operating close to the business while helping define what great partnership looks like here
Lead coaching conversations and workshops that sharpen how managers develop their teams - define what every Basis manager is accountable for, and build the programming that gets them there
Extend our people infrastructure and operating rhythms so they get stronger with scale, not more manual
Use data and trends across your teams to spot organizational risk early and recommend action before it compounds
You've built and taught manager programming in a company adding managers quickly, and you know which part of the curriculum actually changes behavior.
You've run calibration that holds up across teams doing very different work, not just facilitated one team's session.
You've helped build job architecture or career ladders and lived with the first promotion cycle that used them.
Real experience using AI for people work - feedback synthesis, cycle preparation, policy drafting, analytics - and a view on where it helps and where it erodes trust
Fluency partnering with technical teams and with a fast-scaling go-to-market org, which need very different things from you.
Comfort partnering with outside immigration counsel to keep a sponsored population current — petitions, extensions, and filing timelines — on a team where sponsorship is common rather than exceptional.
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