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New York, New York, United States
Onsite
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
Most finance roles inherit a business model. This one helps build one.
Our agents do work that accounting firms have always staffed with people. That makes the questions finance owns at Basis the questions that decide whether the company works: how you price hours of autonomous work, what margins look like when compute is a real cost of revenue, how far ahead of demand you build capacity, and where the next dollar of a fundraise should go. There is no playbook for this yet. You’ll help write it.
If you’ve spent years in banking, private equity, or venture modeling businesses like this from the outside, this is the chance to do it from the inside, with the data, the operators, and the ability to change the answer.
This is not a reporting role. You’ll own the analysis end to end: framing the question, finding the truth in the numbers, deciding what it means, and then making sure the business acts on it. You’ll report to the Head of Finance and work across finance, revenue operations, go-to-market, product, and engineering.
Own the models the company runs on. Revenue, headcount, unit economics, cash. Leadership makes decisions off your work, so it has to be right and it has to be legible.
Take analysis to action. Evaluating a pricing change or a new investment is half the job. The other half is getting the right people aligned and making sure the decision actually gets implemented. You follow the number until something changes because of it.
Chase down what doesn’t add up. When a metric moves and the explanation doesn’t sniff right, you go deep enough to find out why, whether that’s the data, the contract, or the Slack thread, and you come back with a real answer.
Rebuild finance around AI. You’ll run experiments on where LLMs can take on finance work: the recurring reconciliation, the variance commentary, the board deck refresh. When you catch yourself doing a process by hand, you’ll ask whether you can build a skill, an agent, or a workflow that moves you from doing the work to reviewing it. Then you’ll build it.
Be the finance team for the whole company. Field a founder’s question on runway and an engineer’s question on how commissions work with the same care. Deliver a brief to the leadership team on Monday; help a GTM lead read a capacity model on Tuesday.
📍 Location: NYC, Flatiron office. In-person team, five days a week.
An operator, not just an analyst. You’ve watched good analysis go nowhere and it bothers you. You measure your work by what changed, not by what got produced.
Hyper curious. You ask why until you get an answer that holds up. You have a nose for when something is off and the patience to trace it to the source, and you use what you find to make better decisions.
AI-forward. You already use AI to work faster and go deeper, and you want to know how far it can go. You’d rather run the experiment than read about it. You’re excited by the idea that the data entry gets done by an agent and your job becomes the judgment.
A clear communicator. When anyone can generate three pages in thirty seconds, knowing the one thing that matters is the scarce skill. Before you send the brief, you ask what the most salient point is and how someone with five minutes should receive it.
Comfortable at every altitude. Humble enough to answer a basic finance question from a teammate, sharp enough to hold your own in a leadership discussion, and fluent enough to work with engineers and sellers alike.
4–8 years of experience. Most likely you started in investment banking, private equity, venture, consulting, or another analytically rigorous environment, and either moved into strategic finance, revenue operations, or a similar function at a high-growth software, fintech, or AI company, or you’re ready to make that jump now.
Exceptional financial modeling and analytical skills, and the judgment to connect detailed work to a clear point of view.
A builder’s mindset: you create systems from scratch, automate repetitive work, and improve how teams operate rather than maintaining what already exists.
A track record of using AI and modern tools to increase your own leverage, and the appetite to push that much further.
Strong business judgment: you know which questions matter most and how to balance rigor with speed.
Excellent written and verbal communication, and the confidence to turn complex analysis into clear recommendations for company leadership.
GTM fluency: Experience with SaaS metrics, pipeline and capacity planning, pricing, commissions, or usage-based business models.
Data fluency: Comfort working directly with large or messy datasets using SQL, BI tools, or lightweight scripting.
Strategic planning: Experience owning planning for a business unit or organization and surfacing the key strategic questions and investment priorities for business leaders.
Hands-on AI building: You’ve built something, whether an agent, a workflow, or a lightweight internal tool, that took real work off your own plate.
A clear view of the business: Leadership has a trusted, decision-useful view of revenue, spend, headcount, unit economics, and performance.
Decisions that get made, and actioned: Important questions get rigorous analysis, a clear recommendation, and a decision that’s implemented, not a deck that sits in a folder.
Systems that compound: Models, dashboards, and workflows become more automated, reliable, and useful as Basis scales.
A finance team that runs on AI: Meaningful parts of the finance workload have moved from manual to reviewed. You’re checking the agent’s work, not doing it.
A high-leverage partnership: Finance is a trusted partner to leadership and operating teams across the company.
We offer a competitive and thoughtful benefits package designed to support your physical, mental, and financial well-being:
Health & Wellness: Premium Medical, Dental, and Vision coverage; Life Insurance; and 6 coaching & 6 therapy sessions through Spring Health.
Basis will cover 100% of your Wellhub Gold membership.
Wellhub gives you access to gyms like Lifetime, SoulCycle, NYSC and so many more - as well as access to wellness apps like Strava & Headspace!
Time off: Unlimited PTO + 12 paid company holidays.
In-Office Perks: Daily meal stipends, a fully stocked kitchen, and $300 toward your custom desk setup.
Financial Benefits: Pre-tax commuter benefits and 401(k) retirement plan
Team Culture: Monthly office activities and frequent optional team happy hours.
Parental Support: Access to Carrot Fertility and paid parental leave.
