What you'll do: - Own a vertical end-to-end: define outcomes and metrics, maintain a backlog prioritized by value, risk, dependency, and strategic priority, and set acceptance criteria clear enough to build and test. - Shape the technical design with engineering: system boundaries, money-movement correctness, third-party rails, failure/retry/refund paths, security, latency, scalability, and recovery. - Make hard trade-offs between correctness, speed, cost, reliability, and UX; defend decisions to engineering, compliance, or ops leads. - Treat regulatory constraints as first-class inputs: licensing scope, KYC/CDD and limits, sanctions/PEP screening, transaction monitoring, data residency and privacy; know launch gates versus forward-readiness. - Apply AI where it earns its place: define what AI can decide, when a human stays in the loop, how it’s evaluated, and what happens if it’s unsure. Every AI-driven figure should trace bac

What you'll do: - Own a vertical end-to-end: define outcomes and metrics, maintain a backlog prioritized by value, risk, dependency, and strategic priority, and set acceptance criteria clear enough to build and test. - Shape the technical design with engineering: system boundaries, money-movement correctness, third-party rails, failure/retry/refund paths, security, latency, scalability, and recovery. - Make hard trade-offs between correctness, speed, cost, reliability, and UX; defend decisions to engineering, compliance, or ops leads. - Treat regulatory constraints as first-class inputs: licensing scope, KYC/CDD and limits, sanctions/PEP screening, transaction monitoring, data residency and privacy; know launch gates versus forward-readiness. - Apply AI where it earns its place: define what AI can decide, when a human stays in the loop, how it’s evaluated, and what happens if it’s unsure. Every AI-driven figure should trace bac