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

You will be our first Founding QA Engineer in Toronto, and you will own quality for a product that prepares accounting work for enterprise customers, where a missed edge case shows up in someone's books. Maxima's agents prepare journal entries, match transactions, and reconcile accounts, and controllers approve what they produce, so the product has to be right in the ordinary cases and in the strange ones: the many-to-many match, the multi-entity close, the reconciliation that does not tie out.

The first job is coverage: growing the end-to-end suite in Playwright, using AI to generate tests, keeping the existing suite healthy, and testing edge cases by hand. Once that is in a good state, you will also fix bugs and build features alongside the rest of the team, and you will shape how the Toronto engineering team thinks about quality from the start.

Our team is tight-knit, and we look for people who take initiative and feel a strong sense of ownership.

What you'll do

Increase end-to-end test coverage with Playwright, using AI to generate tests

Maintain the existing test suite and keep it fast and trustworthy

Test edge cases manually, especially the accounting scenarios automated tests miss

Reproduce, triage, and document bugs so engineers can fix them quickly

Wire tests into CI so a build fails when something breaks

Fix bugs and implement new features once coverage is in a reasonable state

What we're looking for

Knowledge of TypeScript, React, and Playwright

Experience building or maintaining end-to-end test suites for a web application

An eye for edge cases and the patience to test them by hand

Comfort using AI tools to write and maintain tests

Care about correctness; you notice when a number is off

Initiative and a strong sense of ownership

Nice to have

Experience with CI/CD pipelines such as GitHub Actions

Experience testing financial, accounting, or other data-heavy products

Experience contributing product code alongside test code

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