2 months ago
San Mateo, CA, USASenior
Responsibilities
- Architect data lakes and ingestion pipelines for data from ERPs, banks, payroll, and other financial systems.
- Build and scale multi-tenant relational databases and data models for journal entries, reconciliations, and transaction matching.
- Evaluate and build search engine and vector database infrastructure for agent and accounting workflows.
- Design durable, highly available financial data processing layers.
- Own the reliability, observability, and performance of the data platform as customer volume grows.
- Partner with AI Agents and product engineering teams to support their products.
Requirements
- At least 5 years of experience working with data systems at high-growth companies.
- Strong experience with relational databases and data modeling.
- Experience building and operating data pipelines and distributed, data-intensive systems.
- Familiarity with web development and cloud infrastructure such as GCP.
- Experience working on systems where correctness and numerical accuracy are critical.
- Strong communication and collaboration skills.
- Preferred: experience with fintech or complex workflow engines.
- Preferred: production experience with search engines or vector databases.
- Preferred: financial data experience involving ERP integrations, banking data, or accounting systems.
- Preferred: experience with Go, TypeScript, or Python.
Benefits
- Competitive salary, 401(k) for US employees, unlimited PTO, lunch in the office, and commuter benefits.
- Role is based in the San Mateo office and requires working in person four to five days per week.
- The company has small teams in San Mateo and Toronto that collaborate in the same room.
Tech Stack
Categories
BackendData Engineering
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.