2 months ago
Toronto, CanadaSenior / Staff+
Responsibilities
- Build agentic systems for real-world enterprise accounting automation.
- Scale the platform for large and growing enterprise workloads.
- Architect a durable and scalable financial data processing layer.
- Build infrastructure that powers agentic systems.
- Create robust abstractions for intricate accounting workflows.
- Own major product or engineering areas and drive initiatives across teams.
- Work directly with customers to understand real-world requirements.
Requirements
- Typically 5 or more years of experience building systems at high-growth companies.
- Strong familiarity with web development, relational databases, and distributed systems.
- Experience owning a product or engineering area end to end and driving cross-team initiatives.
- Ability to design, deploy, and iterate on infrastructure that is accurate and reliable under high-volume financial data.
- Comfort working directly with customers.
- Strong communication, collaboration, initiative, and ownership skills.
- Nice to have experience with AI agents, data pipelines, mission-critical fintech systems, complex workflow engines, or Maxima’s technology stack.
Benefits
- Competitive salary, unlimited PTO, lunch in the office, commuter benefits, and a 401(k) for US employees.
- Based in Maxima’s downtown Toronto office near Union Station, with in-office work four to five days per week for this on-site role.
- Small teams in Toronto and San Mateo that collaborate in person.
Categories
About Maxima
Maxima AI is the most advanced AI platform for enterprise accounting. Trusted by companies like Rippling, Scale AI, Zip, Glean, Zendesk and Bilt Rewards, Maxima's AI agents do more than just coordinate the work. They pull data from your finance stack, transform transactions to accounting entries, post journal entries with source data, reconcile to the general ledger, detect anomalies, and generate variance explanations to deliver SOX compliant, real-time close Our team brings together top fintech engineers from Google, Apple, Robinhood, Bolt, and Meta with former accountants and auditors from EY, PwC to solve a decades-old problem with agent prepared, human reviewed accounting.