Deployment Engineer - Toronto
Urban Ridge Supplies
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 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
- 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
- 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
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Vacancy posted 22 hours ago
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