The opportunity
Risk Engineering builds the systems that protect Stripe from fraud, credit losses, and regulatory risk across user onboarding, compliance, financial crimes, and identity verification.
What you'll do
Define technical strategy & vision: Establish the multi-year architecture for Stripe’s real-time entity matching infrastructure, policy enforcement engines, and reviewer tooling
Architect high-scale systems: Design and optimize distributed screening engines and detection pipelines handling entity- and transaction-level requests at scale with strict SLA and uptime guarantees.
Build investigations infrastructure: Design the systems that surface suspicious activity, collect additional information from users, route cases to reviewers, and augment human judgment with AI to drive faster, more accurate case resolution.
Drive cross-functional technical alignment: Serve as the primary technical voice with Legal, Compliance, ML, and Product leaders to translate evolving global regulatory requirements into technical ones.
Enable Risk as a Service: Lead the architectural evolution toward a multi-tenant screening platform - laying the technical foundation for both internal product launches and external developer-facing APIs.
Raise the engineering bar: Set standards for system design, API consistency, and operational rigor across backend and ML-adjacent systems; mentor senior engineers and lead high-stakes design reviews.
What they're looking for
- + years of software engineering experience, including 5+ years in a strategic: technical leadership role on core infrastructure, distributed systems, or platform engineering.
- Proven experience designing, building, and operating high-throughput,: low-latency APIs and distributed backend systems at scale.
- Track record of defining technical roadmaps and driving alignment across: multiple engineering teams and cross-functional domains.
- Hands-on technical depth: comfortable jumping from high-level system architecture down to code-level performance tuning and production debugging.
- Exceptional written and verbal communication skills, with a track record of: articulating technical decisions to non-technical stakeholders.
- Domain experience in financial crimes, sanctions screening, AML (Anti-Money: Laundering), entity resolution, or high-stakes trust & safety platforms.
- Familiarity with applying LLMs or ML to operational workflows (e.g., case: triage, entity resolution, review automation), or experience with fuzzy string matching and NLP for entity matching.
- Experience building investigator/analyst tooling, case management systems, or: human-in-the-loop review workflows.