Member of Technical Staff – Atlas at Basis, New York

Basisbuilds real agents that perform end-to-end work for some of the largest accounting firms in the world. Now, its internalAtlasteam is tackling a deeper question: what does knowledge work look like once we reach AGI? TheMember of Technical Staff - Atlasrole inNew York, NYis for engineers who want to spend the next several years making that answer real. Building the First AI-Native Company at ScaleBasis recently raised $100M at a valuation exceeding $1B, with backing from Khosla Ventures, Google Ventures, Accel, and notable operators and technical leaders including Jeff Dean, Nat Friedman, Daniel Gross, and Adam D'Angelo. OpenAI's Applied AI Lead, Prashant Mital, noted that Basis has "pushed the limits of what we thought our models could do" on complex, economically valuable accounting tasks. Atlas began when Basis had fewer than forty people. Since then, the company has secured major funding, giving Atlas the resources, access, and mandate to pursue its mission seriously. The team embeds directly within Basis's operations to build intelligence deeper into workflows. Atlas has already shipped: Agent teammates that push code directly to production Systems that keep company knowledge current automatically Services that diagnose and repair themselves The ambition goes far beyond making someone 10% more productive. Atlas is building zero-human loops that handle entire jobs end-to-end, freeing the team to take on higher-level work. Getting there means inventing new infrastructure, interfaces, operating models, and ways for humans and agents to collaborate. There is no established playbook for that—building it is the job. What Kind of Engineer Thrives HereBasis hires individuals, not resumes. Given how fast the landscape is changing, finding the best people matters more than matching specific experience. First Principles and Systems ThinkingMany of the problems Atlas solves are net new. The team wants engineers who can decompose novel problems, reason from fundamentals rather than pattern match, and design systems that compound. Thinking Beyond the EngineeringThe strongest engineers here understand the domain deeply—the data systems, workflows, and tasks agents perform. That understanding is what enables better system design, better agent training, and sharper product decisions. Ownership of OutcomesEvery project at Basis has a single Responsible Party (RP) who is accountable for whether it ships and whether it works. There are always more things to own than people to own them. Engineers own their work end-to-end. AgencyEngineers need the initiative to gather context, talk to the right people, read data, and understand problems deeply enough to know what matters. Non-NegotiablesIn-person at the Flatiron office in NYC five days a week Excitement about working with coding agents—every engineer gets an unlimited token budget Passion for applying agents to real-economy problems at the frontier