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Maxima

AI-driven accounting platform automates month-end close

Senior/Staff Software Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSan Mateo, CA, USANo salary listed

About the Job

Requirements

  • Typically 5 or more years building systems at high-growth companies.
  • Strong familiarity with web development, relational databases, and distributed systems.
  • A record of owning a product or engineering area end to end and driving initiatives that cut across teams.
  • Ability to design, deploy, and iterate on infrastructure that has to be accurate and reliable under high-volume financial data.
  • Comfort working directly with customers to understand real-world requirements.
  • Strong communication and collaboration skills; you raise the bar for the people around you.

Responsibilities

  • Build the agentic systems that power real-world enterprise accounting automation.
  • Scale the platform to support large and growing enterprise workloads.
  • Architect a durable and scalable financial data processing layer.
  • Build the infrastructure that powers our agentic systems.
  • Solve intricate accounting workflows through clean and robust abstractions.

Desired Qualifications

  • Experience with AI agents, data pipelines, mission-critical systems such as fintech, or complex workflow engines.
  • Experience with Go, TypeScript, and Python services, React on the front end, Google Cloud Platform, Kubernetes, and large language model integrations.

About the Company

Maxima

AI-driven accounting platform automates month-end close

Maxima provides an AI-driven accounting platform that runs on top of existing ERP systems to automate month-end close, reconciliations, journal entries, and ledger operations. It uses autonomous AI agents that independently prepare entries, perform reconciliations, run flux analysis, match transactions, and apply accounting policies, delivering pre-validated, audit-ready data in a unified control center for review. Unlike tools that replace ERP, Maxima complements current data infrastructure by offloading repetitive tasks while preserving governance and audit trails. Its goal is to speed and scale corporate accounting so finance teams can focus on analysis, strategy, and financial insights.

Company size
51-200
Company stage
Series A
Total funding
$41M
Headquarters
San Mateo, CA
Founded
2024

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