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 a Senior or Staff Engineer, you will drive initiatives with broad business and technical impact. The role is not tied to a single area: senior and staff engineers here take on our most important and complex problems, own major product and engineering areas, and work directly with customers. Beyond technical excellence, we value engineers who are curious and take initiative. WHAT YOU'LL DO - Build the agentic systems that power real-world enterprise accounting automation - Scale the platform to support large and growing enterprise workloads - Architect a durable and scalable financial data processing layer - Build the infrastructure that powers our agentic systems - Solve intricate accounting workflows through clean and robust abstractions What we're looking for - Typically 5 or more years building systems at high-growth companies - Strong familiarity with web development, relational databases, and distributed systems - Cares deeply about culture - A record of owning a product or engineering area end to end and driving initiatives that cut across teams - Ability to design, deploy, and iterate on infrastructure that has to be accurate and reliable under high-volume financial data - Comfort working directly with customers to understand real-world requirements - Strong communication and collaboration skills; you raise the bar for the people around you Nice to have - Experience with AI agents, data pipelines, mission-critical systems such as fintech, or complex workflow engines - Experience with any of our stack: Go, TypeScript, and Python services, React on the front end, GCP and Kubernetes, and LLM integrations throughout Where and how you'll work This role is based in our downtown Toronto office, near Union Station. 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

Build the agentic systems that power real-world enterprise accounting automation
Scale the platform to support large and growing enterprise workloads
Architect a durable and scalable financial data processing layer
Build the infrastructure that powers our agentic systems
Solve intricate accounting workflows through clean and robust abstractions
Typically 5 or more years building systems at high-growth companies
Strong familiarity with web development, relational databases, and distributed systems
Cares deeply about culture
A record of owning a product or engineering area end to end and driving initiatives that cut across teams
Ability to design, deploy, and iterate on infrastructure that has to be accurate and reliable under high-volume financial data
Comfort working directly with customers to understand real-world requirements
Strong communication and collaboration skills; you raise the bar for the people around you
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 AI agents, data pipelines, mission-critical systems such as fintech, or complex workflow engines
Experience with any of our stack: Go, TypeScript, and Python services, React on the front end, GCP and Kubernetes, and LLM integrations throughout
Where and how you'll work

Application prep

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Keywords to mirror

aigotypescriptpythonreactgcpkubernetesllm

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

401(K)

Pto