About Atlas
What does knowledge work look like when we have AGI?
Atlas is an internal team at Basis dedicated to finding the answer. We’re a group of builders, former founders, and engineers that embed directly within our teams, so we can build intelligence deeper into their workflows.
As models continue to improve, they change how companies are built and how teams operate. Basis is building the first AI-native company at scale. Atlas is responsible for making that possible.
We’ve already shipped agent teammates that push code directly to production, systems that keep company knowledge current automatically, and services that diagnose and repair themselves. These systems do real work inside Basis today. Every advance in model capability opens another set of questions about how work should be organized and another set of things we can build.
Our ambition is much larger than making each person 10% more productive. We’re building zero-human loops that handle entire jobs end-to-end and free up our team to take on higher level work. Getting there means inventing new infrastructure, interfaces, operating models, and ways for humans and agents to work together.
Atlas began when Basis had fewer than forty people. Since then, Basis has raised $100M. Atlas has the resources, access, and mandate to pursue this seriously. Basis intends to grow at extraordinary speed, and doing so requires a fundamentally different operating model—one in which agents take on an increasing share of the work. There is no established playbook for that. Building it is our job.
If “What is the future of knowledge work?” is the question you most want to spend the next several years answering—and you want to make the answer real at a fast-growing company—reach out.
The kind of engineer who does well here
We hire individuals, not resumes. Given how fast things are changing, it's more important to hire the best people than to hire the person with specific experience.
First principles and systems thinking. Many of the problems we solve are net new. There's no playbook. We want people who can decompose a novel problem, reason from fundamentals rather than pattern match, and design things that compound.
Thinking beyond the engineering. The engineers who do best here understand the domain deeply: the data systems, the workflows, the work our agents are performing. That understanding is what lets you design better systems, train better agents, and make better product decisions.
Ownership of outcomes. Every 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 own work at Basis. Read more about our RP system here
Agency. Having the initiative to pick up the context you need to make good decisions. Talking to the right people, reading the data, understanding the problem deeply enough to know what matters.
Non-negotiables:
We started Basis with the core belief that agents would become an integral part of knowledge work in the near future, and that accounting would be among the first and most important domains where this happened. Accounting is structured, high-stakes, and essential to every business on earth. It's also one of the most underbuilt areas in technology.
Here we are 3 years later, and Basis can now complete a partnership tax workbook end to end. Basis' abilities improve monthly and the rate of improvement itself is increasing. Every day accountants use Basis to create complex journal entries, debug difficult reconciliations, prepare technical accounting memos, and much more. We're deploying real agents to do real work in the real economy.
The world is going to look very different in 2030, and accounting will be at the center of that transformation in ways most people don't yet appreciate. Read more about how we're thinking about the work.
Salary
$150,000 - $300,000
Location
New York, United States
Experience
3+ years
Total raised
$137.6M
Last stage
Series B
Investors
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.