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. Every accounting workflow and every agent at Maxima runs on the data platform, and you will build it. Financial data arrives from ERPs, banks, payroll, and billing systems in volumes that grow with every customer, and it has to be ingested, matched, and reconciled without losing a cent or a trail. As a Data Infrastructure Software Engineer, you will design and scale the systems that do that: our data lakes, our multi-tenant relational databases, and the search and vector infrastructure that supports the workflows on top. This is a foundational role on a small team, with the ownership that comes with it. The decisions you make about how financial data is modeled, stored, and served will shape what the agents can do for years. WHAT YOU'LL DO - Architect our data lakes and the ingestion pipelines that feed them from ERPs, banks, and other financial systems - Build and scale our multi-tenant relational databases and the data models behind journal entries, reconciliations, and transaction matching - Evaluate and build the right search engine and vector database setup to support agent and accounting workflows - Design durable, highly available financial data processing layers that the agents depend on - Own the reliability, observability, and performance of the data platform as customer volume grows - Work with the AI Agents and product engineering teams so the platform serves what they are building WHAT WE'RE LOOKING FOR - 5 or more years working with data systems at high-growth companies - Strong experience with relational databases and data modeling - Experience building and operating data pipelines and distributed, data-intensive systems - Familiarity with web development and cloud infrastructure such as GCP - Care about correctness; you have worked on systems where the numbers have to be right - Strong communication and collaboration skills NICE TO HAVE - Experience with mission-critical systems such as fintech, or complex workflow engines - Search engines or vector databases in production - Financial data specifically: ERP integrations (NetSuite, SAP, Oracle, Workday), banking data, or accounting systems - Go, TypeScript, or Python 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

This is a foundational role on a small team, with the ownership that comes with it. The decisions you make about how financial data is modeled, stored, and served will shape what the agents can do for years.
Architect our data lakes and the ingestion pipelines that feed them from ERPs, banks, and other financial systems
Build and scale our multi-tenant relational databases and the data models behind journal entries, reconciliations, and transaction matching
Evaluate and build the right search engine and vector database setup to support agent and accounting workflows
Design durable, highly available financial data processing layers that the agents depend on
Own the reliability, observability, and performance of the data platform as customer volume grows
Work with the AI Agents and product engineering teams so the platform serves what they are building
5 or more years working with data systems at high-growth companies
Strong experience with relational databases and data modeling
Experience building and operating data pipelines and distributed, data-intensive systems
Familiarity with web development and cloud infrastructure such as GCP
Care about correctness; you have worked on systems where the numbers have to be right
Strong communication and collaboration skills
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 mission-critical systems such as fintech, or complex workflow engines
Search engines or vector databases in production
Financial data specifically: ERP integrations (NetSuite, SAP, Oracle, Workday), banking data, or accounting systems
Go, TypeScript, or Python

Application prep

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

Keywords to mirror

aigcpgotypescriptpython

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

401(K)

Pto