2 months ago
San Mateo, CA, USASenior / Staff+
Responsibilities
- Build agentic systems for enterprise accounting automation.
- Scale the platform for large and growing enterprise workloads.
- Architect durable and scalable financial data processing infrastructure.
- Build infrastructure supporting agentic systems.
- Create robust abstractions for intricate accounting workflows.
- Own major product or engineering areas and drive cross-team initiatives.
- Work directly with customers to understand real-world requirements.
Requirements
- Typically five or more years of experience building systems at high-growth companies.
- Strong familiarity with web development, relational databases, and distributed systems.
- Demonstrated ownership of a product or engineering area from end to end.
- Experience designing, deploying, and iterating on accurate and reliable infrastructure for high-volume financial data.
- Comfort working directly with customers.
- Strong communication and collaboration skills.
- Preferred experience with AI agents, data pipelines, mission-critical fintech systems, or complex workflow engines.
- Preferred experience with Go, TypeScript, Python, React, GCP, Kubernetes, and LLM integrations.
Benefits
- Competitive salary.
- 401(k) for US employees.
- Unlimited paid time off.
- Lunch in the office.
- Commuter benefits.
- Based in the San Mateo office with in-person work four to five days per week.
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.