Software Engineer, Product
Technologies
TypeScript · Python · Node.js · React · workflow orchestration · LLM · API · cloud infrastructure
About Bretton AI
Builds AI agents that automate risk, compliance, and financial-crime investigations for financial-services companies (sells to banks/fintechs like Robinhood, Mercury).
Series A · 20–50 people
Job description
The full responsibilities and requirements are on the employer’s site.
Open application page ↗Source and classification
Production engineering · Evidence for this classification:
About Bretton AI Bretton runs AI-native operations for the financial back office. OCC, Fed and FDIC regulated banks use Bretton AI to run compliance, risk, fraud, and operations on one platform, on their own data and policies, with every output traced, cited, and audit-ready. We’ve raised over $95M from Greylock, Y Combinator, Thomson Reuters Ventures and other top tier investors. We’re based in downtown San Francisco and our team comes from world-class organizations like Google, Netflix, Stripe, Plaid, Brex, and more. The Role We’re hiring Product Engineers who excel at turning complex customer problems into elegant technical solutions. You’ll own substantial features from conception to production, working directly with customers to understand their needs, designing scalable architectures, and shipping code that measurably improves compliance operations. This role combines deepHow jobs are selected
Employer postings · Data from · Sources