Sphinx is a reliability system designed for organizations that depend on accurate, trustworthy data. It ensures that definitions stay consistent across systems, reducing manual fixes and eliminating guesswork. Backed by Lightspeed.
About the role
Define how our agents think. That means turning complex regulations into structured, machine-readable logic – and ensuring it works across jurisdictions, languages, and edge cases. Partner with customers to understand how their compliance processes are actually done, then design products that remove the bottlenecks: mapping workflows, refining alerts, improving output quality & accuracy, and building transparency into every decision.
More about this role
tl;dr: We’re automating compliance for banks and fintechs with AI agents that work on existing systems like human analysts. We’re looking for someone who understands both compliance and product management, someone who can turn regulatory workflows into scalable systems that help define how our AI agents reason, decide, and learn.
If you’ve worked in compliance, you’ve seen it firsthand: the endless reviews, duplicate alerts, and outdated systems that make even simple controls take hours. The rules make sense; the systems don’t.
Sphinx is fixing that. We build AI analysts that work inside browsers and internal systems just like humans — automating AML, KYC, KYB, and transaction monitoring end-to-end.
Instead of replacing judgment, our agents replicate it – learning from analyst feedback, explaining their reasoning, and improving over time. The result: faster onboarding, fewer false positives, and compliance teams that focus on decisions, not data entry.
Banks and fintechs across the U.S., Canada, Europe, and LatAm use Sphinx agents to handle 90% of their manual work and cut costs by 4x.
Redefine compliance: Banks spend $50B a year hiring thousands of analysts to manage compliance...
Browse similar: AI jobs · AI startup jobs · Startup jobs · San Francisco Bay Area