Deployment Engineer

Posted 5 Days Ago
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Toronto, ON, CAN
In-Office
Junior
Artificial Intelligence • Fintech
The first agentic AI platform for enterprise accounting
The Role
Deploys enterprise accounting software for customers by leading technical discovery, proofs of concept, integrations, custom modules, and AI prompt/model tuning. Partners with Account Executives during complex sales cycles and collaborates with product and engineering on customer requests. Troubleshoots, debugs, upgrades, and supports production deployments while communicating directly with customers.
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

As a Deployment Engineer, you get customers live. You will sit alongside Account Executives through complex deal cycles, run technical proofs of concept, and then build what each customer needs to launch: integrations to their transaction systems, custom modules, and prompt and model tuning so the AI performs the way their accounting requires. When something breaks in production, you are the one who fixes it.

This is engineering with a customer in the room. Communication matters as much as code.

What you'll do
  • Work with Account Executives on complex deal cycles involving multiple stakeholders

  • Run technical proof-of-concept processes and present tailored demos based on customer and business needs

  • Lead technical discovery calls and write the implementation scoping document for each customer that launches with Maxima

  • Tune prompts and models to get the right AI performance for each client

  • Build integrations to transaction systems such as revenue, billing, and accounts payable, and the custom modules customers need to go live

  • Partner with product and engineering to deliver on customer requests and advocate for customer needs

  • Troubleshoot, debug, fix, and upgrade software for reliable performance in production, and support deployed solutions over time

What we're looking for
  • 2 or more years in forward deployed engineering, sales engineering, implementation engineering, or solutions engineering

  • Bachelor's degree in any engineering discipline; computer science preferred but not required

  • Strong verbal and written communication skills and comfort working directly with customers

  • Proficiency in languages such as Go, TypeScript, or Python

  • Experience working with Account Executives on technical sales processes for enterprise customers

  • Proactive, highly motivated, and able to handle the intensity and pace of a startup

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

  • At least 2 years of experience in forward deployed engineering, sales engineering, implementation engineering, or solutions engineering
  • Bachelor's degree in an engineering discipline
  • Strong verbal and written communication skills
  • Comfort working directly with customers
  • Proficiency in Go, TypeScript, or Python
  • Experience working with Account Executives on enterprise technical sales processes
  • Computer science degree
  • Proactive and highly motivated startup work style
  • Ability to handle an intense, fast-paced startup environment
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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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