Job description

ABOUT MAXIMA Nobody went into accounting to spend the first week of every month matching transactions by hand. Maxima was built so they don't have to. Our agents do the accounting work itself: journal entries, transaction matching, reconciliations, and flux analysis, continuously and with a full audit trail. Accountants review and approve. Nothing posts without a person signing off. We remove the grind, not the human. Maxima is the agentic AI platform for enterprise accounting. Our three co-founders scaled finance at Rubrik from $5M ARR to a $15B NYSE IPO, built the reconciliation and billing systems behind Netflix's $32B in annual revenue, and built AI infrastructure serving two billion monthly users at Meta. We've raised $41M from Redpoint Ventures, Kleiner Perkins and Audacious Ventures, joined by former BlackLine executives and the CFOs of Rubrik and Vanta. To date we've processed more than $400B across 350M transactions at 100.00% accuracy, for customers including Scale AI, Rippling, Glean, Zendesk, Handshake, Zip, and Decagon. We're early and moving fast. The playbook here gets written, not inherited, and the person closest to the work makes the call. We're looking for people who build from first principles and hold themselves accountable for what actually lands — people who'd rather build the category than join it. Everything you need to know is below. THE ROLE We are working on some of the hardest problems in enterprise automation, with an engineering team that includes staff-level talent from Robinhood, Glean, Google, Netflix, and Meta. The system handles high-volume financial data and complex accounting workflows, and every execution has to be accurate and reliable, because the output is a company's books. As an AI Engineer at Maxima, you will work where AI systems and product meet, building the agentic workflows behind enterprise accounting automation. This is not pure research or modeling. The job is turning modern AI capabilities into reliable, production-ready systems that customers use every day, in financial workflows where reliability is not optional. You will work closely with product, design, and engineering to ship end-to-end features, and you will help shape how AI is developed, tested, and deployed across the company. We value engineers who are pragmatic, product-minded, and excited to take AI systems from experimentation into dependable production. WHAT YOU'LL DO - Design and iterate on prompts, evaluations, and model interfaces - Build and orchestrate agent workflows - Integrate AI components deeply into the product and infrastructure - Make AI-driven systems reliable and scalable in high-stakes financial workflows - Ship end-to-end features with product, design, and engineering WHAT WE'RE LOOKING FOR - 2 or more years building product at high-growth companies - Familiarity with the latest AI developments, practices, and frameworks - Familiarity with web development, relational databases, and distributed systems NICE TO HAVE - Experience with data pipelines, mission-critical systems such as fintech, or complex workflow engines WHERE AND HOW YOU'LL WORK This role is based in our San Mateo office. We value in-person collaboration and are in office four to five days a week for our on-site roles. WHY JOIN MAXIMA - The work. Agentic accounting is a category being defined right now, and Maxima is one of the companies defining it. The product does the accounting work itself, so what you build, sell, or deploy shows up in a customer's books - The people. Founders who ran the finance org at Rubrik and built the close systems at Twitter and Netflix. Engineers from Robinhood, Glean, Google, Netflix, and Meta. Controllers and accountants on the team who have closed books themselves. Small teams in San Mateo and Toronto that work in the same room, say what they think, and hold a high bar - The benefits. Competitive salary, 401(k) for US employees, unlimited PTO, lunch in the office, and commuter benefits - The process. A person reads every application, and we tell you where you stand at every stage A note on AI We build AI and we expect you to use it. Use it to research us and to prepare. In live conversations we want your own thinking in your own words, and if you use AI on a take-home exercise, tell us where it helped. Equal opportunity Maxima is an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any other legally protected status. If you need an accommodation at any point in the process, tell us and we will arrange it.

Requirements

Must-haves

Design and iterate on prompts, evaluations, and model interfaces
Build and orchestrate agent workflows
Integrate AI components deeply into the product and infrastructure
Make AI-driven systems reliable and scalable in high-stakes financial workflows
Ship end-to-end features with product, design, and engineering
2 or more years building product at high-growth companies
Familiarity with the latest AI developments, practices, and frameworks
Familiarity with web development, relational databases, and distributed systems
The process. A person reads every application, and we tell you where you stand at every stage
A note on AI
We build AI and we expect you to use it. Use it to research us and to prepare. In live conversations we want your own thinking in your own words, and if you use AI on a take-home exercise, tell us where it helped.

Nice-to-haves

Experience with data pipelines, mission-critical systems such as fintech, or complex workflow engines

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

Platform: ashby
Effort: quick

Benefits

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401(K)

Pto