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Deployment Engineer - Toronto

Maxima.ai· Engineering & Product
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TorontoFull-timePosted 1mo ago

About the role

Deployment Engineer role based in Toronto, focused on taking customers live, delivering integrations and custom modules, tuning AI models, and supporting production deployments with a customer-centered engineering approach.

Responsibilities

  • 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

Qualifications

  • 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

Skills

Required:CommunicationGoTypeScript
Nice to have:Python

Benefits

  • Competitive salary
  • 401(k) for US employees
  • unlimited PTO
  • lunch in the office
  • commuter benefits
Last updated Sep 23, 2026. Interested? Apply on the company site.

About Maxima.ai

AI Accounting Automation for Enterprises

Maxima automates accounting with agentic AI—journals, reconciliations, and flux analysis—delivering a SOX-compliant, real-time close for enterprise finance teams.

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