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

We are working on some of the hardest problems in enterprise automation, with an engineering team that includes staff-level talent from Robinhood, Glean, Google, Netflix, and Meta. The system handles high-volume financial data and complex accounting workflows, and every execution has to be accurate and reliable, because the output is a company's books.

As a Senior or Staff engineer on the AI Agents team, you will lead the building and scaling of the core agentic systems behind enterprise accounting automation: the agents that do the accounting work for our customers. You will own the full lifecycle of agent architecture, implementation, deployment, and optimization, and solve hard distributed systems and intelligent automation problems where software engineering, AI, and enterprise operations meet.

You will own mission-critical product and engineering areas, talk to customers regularly to understand what real-world requirements look like, and help drive the roadmap for the platform. We value engineers with strong technical foundations who show initiative, curiosity, and the ability to iterate quickly.

What you'll do

Build and evolve the agentic systems that perform and orchestrate complex accounting automation

Scale the AI Agents platform to support large and rapidly growing enterprise workloads

Architect durable, highly available, and scalable financial data processing layers to support the agents' work

Build low-latency, extensible infrastructure for deploying and iterating on new agents

Solve intricate enterprise accounting workflows through robust, composable abstractions

What we're looking for

Typically 5 or more years building backend systems at high-growth, high-scale technology companies

Experience architecting, building, or maintaining AI agent harnesses and agentic platforms

Strong familiarity with web development, relational databases, and distributed, data-intensive systems

Ability to design, deploy, and iterate on scalable infrastructure and automation components for AI-driven workflows

Deep interest in AI agent architectures, workflow engines, data pipelines, or mission-critical automation in domains like fintech or enterprise software

Strong communication and collaboration skills, and an eagerness to work cross-functionally

Where and how you'll work

This role is based in our San Mateo office. 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