The opportunity
Supportability sits at the vital intersection of platform safety, regulatory trust and merchant growth. Our mission is to ensure legitimate businesses can seamlessly onboard and thrive on Stripe, while proactively safeguarding the financial ecosystem from bad actors and high-risk activity.
What you'll do
Lead the technical vision, system architecture and delivery of the canonical: Supportability Decision Layer, establishing stateful, explainable decision APIs consumed across automated systems and human operations.
Architect decision aggregation and AI/ML orchestration pipelines,: synthesizing upstream machine learning outputs, website intelligence, backsite detection, and agentic AI evaluations into unified, low-latency determinations.
Design high-throughput, low-latency distributed backend services that balance: platform safety, regulatory compliance, and minimal friction for legitimate merchants.
Navigate ambiguous, zero-to-one problem spaces to define clean domain models,: contracts and interfaces across transaction laundering detection, web-presence screening and Local Payment Method (LPM) support.
Build resilient, AI-assisted decision engines designed to withstand: circumvention, ensuring systems maintain integrity against sophisticated bad actors who actively evolve their tactics.
Serve as the technical lead and mentor for the Dublin engineering team,: setting architectural patterns, conducting design reviews, and raising the technical bar as the team expands.
What they're looking for
- + years of professional backend software engineering experience building and: maintaining complex distributed systems in production.
- Proven track record as a technical lead or staff engineer driving: multi-quarter technical initiatives from ambiguous requirements to production delivery.
- Deep experience designing durable, scalable APIs, data models, and backend: architectures capable of processing mission-critical data with high reliability.
- Strong communication and leadership skills with experience mentoring: engineers, aligning cross-functional stakeholders, and driving technical consensus across distributed teams.
- Fluency in a modern backend language (such as Ruby, Java, Go, Python, or C++).
- Experience building systems in trust, safety, or risk domains where external: bad actors actively evolve their tactics (e.g., transaction laundering, fraud, deceptive practices, or platform abuse).
- Experience architecting workflow orchestration, policy evaluation, or: decision platforms that balance robust risk evaluation with frictionless merchant onboarding and product access.
- Familiarity with global payment ecosystems, Local Payment Methods (LPMs),: financial partner dynamics, or card network standards.