Founding QA Engineer - Toronto

Reposted 23 Days Ago
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Toronto, ON, CAN
In-Office
Mid level
Artificial Intelligence • Fintech
The first agentic AI platform for enterprise accounting
The Role
First QA engineer responsible for increasing end-to-end test coverage using Playwright and AI-generated tests, maintaining tests, performing manual edge-case testing, and later fixing bugs and implementing features in a TypeScript/React codebase. Role is fully in-person in downtown Toronto, five days a week.
Summary Generated by Built In
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, in real time and to SOX standards. Accountants review and approve. Nothing posts without a person signing off. We remove the grind, not the human.
Maxima is the first agentic AI platform for enterprise accounting. Our founders oversaw the finance org at Rubrik and built the month-end close systems at Twitter and Netflix. We've raised $41M from Redpoint Ventures, Kleiner Perkins, and Audacious Ventures, and we're backed by finance leaders at OpenAI, Rubrik, and Vanta. Maxima runs in production at Scale AI, Rippling, Glean, and SpotOn.
We are early, we are growing fast, and we are hiring people who would rather build the category than join it. Here is one way to do that.


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

  • 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.

Skills Required

  • Experience with Playwright (end-to-end testing)
  • Proficiency in TypeScript
  • Experience with React
  • Experience writing and maintaining automated end-to-end tests
  • Manual testing for edge cases and exploratory testing
  • Ability to debug, fix bugs, and contribute to the codebase
  • Willingness to work in-person 5 days per week in downtown Toronto
  • Experience or comfort using AI tools to generate tests
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The Company
HQ: Vilnius
55 Employees
Year Founded: 2024

What We Do

Maxima is the first agentic AI platform for enterprise accounting to deliver SOX-compliant, real-time close. From journal entries and reconciliations to variance analysis, Maxima automates the most manual and error-prone tasks across record-to-report operations. Our team brings together top fintech engineers from Robinhood, Bolt, X.ai, and Facebook with former accountants and auditors from EY, BlackLine, and FloQast to solve a decades-old problem with agent prepared, human reviewed accounting.

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