5 months ago
San Mateo, CA, USASenior / Staff+
Responsibilities
- Build and evolve agentic systems that perform and orchestrate complex accounting automation.
- Scale the AI Agents platform for large and rapidly growing enterprise workloads.
- Architect durable, highly available, and scalable financial data-processing layers.
- Build low-latency infrastructure for deploying and iterating on new agents.
- Develop robust abstractions for intricate enterprise accounting workflows.
- Own mission-critical product and engineering areas, engage regularly with customers, and help drive the platform roadmap.
Requirements
- Typically 5 or more years of experience 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 fintech or enterprise software.
- Strong communication, collaboration, initiative, curiosity, and ability to iterate quickly.
Benefits
- Competitive salary, 401(k) for US employees, unlimited PTO, lunch in the office, and commuter benefits.
- Based in the San Mateo office with in-person collaboration four to five days per week for on-site roles.
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.