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Serve as MoonPay UK's MLRO and SMF17 holder, owning AML/CTF and CASS frameworks, suspicious activity reporting, compliance training, regulatory engagement, audits, and FCA authorisation support. The role requires deep UK financial crime and client asset protection expertise, leadership across jurisdictions, and the ability to build practical compliance controls in a fast-growing crypto and fintech environment.

Design, build, and operate high-throughput Rust backend services for financial transactions, compliance, custody, stablecoins, and blockchain infrastructure. Own features end to end, integrate with banks, payment processors, blockchains, and compliance vendors, and improve observability, security, incident response, and API quality. Staff engineers additionally set technical direction, make cross-team architecture decisions, and mentor engineers.

The Enterprise Marketing Director will build MoonPay’s enterprise marketing function, defining portfolio-wide positioning, segment strategies, go-to-market plans, integrated campaigns, content, social voice, thought leadership, launches, and sales enablement. The role partners with Product, Sales, Creative, Communications, Legal, Compliance, and Risk to generate pipeline, adoption, revenue, and partner growth. This hands-on leader will personally execute marketing programs, measure performance, and establish scalable processes for enterprise audiences in payments, fintech, crypto, and digital assets.

Develop and support corporate IT applications, integrations, automations, authentication, collaboration, and iPaaS systems. Build Workato and Fivetran solutions, monitor systems, respond to incidents, establish engineering practices and controls, document procedures, and identify system requirements. The role also involves cloud infrastructure, scripting, SQL, troubleshooting, security monitoring, and cross-functional IT escalation support.

Own PayBox end to end as a founding-style staff engineer, taking the AI payments product from problem definition through production and iteration. Build payment, peer-to-peer transfer, AI platform, application, and ecosystem integrations. Improve onboarding and UX, make pragmatic architectural decisions, collaborate with Product, and use AI tools while maintaining strong independent technical judgment.

Own significant areas of PayBox end-to-end, from problem definition through production and iteration. Build AI-interface payment and peer-to-peer transfer experiences, integrations across AI platforms, and infrastructure for applications and plugins. Partner with Product, improve onboarding and UX, make pragmatic architectural decisions, and operate autonomously in an ambiguous, fast-moving environment. The role emphasizes strong systems thinking, product judgment, thoroughness, and extensive but accountable use of AI.

Own the multi-year KYB product strategy for MoonPay Enterprise, including business onboarding, conversion funnels, API and partner experience, compliance workflows, verification vendors, and provider orchestration. The role requires turning regulatory requirements into scalable product logic, improving verification speed and automation, measuring funnel performance, and expanding AI-assisted review while maintaining risk controls. This principal-level PM partners closely with compliance, banking providers, and engineering to build an API-first B2B onboarding platform.

Lead 24/7 SOC operations by monitoring and investigating security alerts, handling complex incidents, analyzing email and endpoint threats, and improving detection capabilities. Mentor analysts, review escalations, conduct knowledge sharing, manage shift schedules, maintain runbooks and incident documentation, monitor external attack surfaces, and provide performance feedback and development recommendations to the SOC Manager.

Monitor security alerts across network, endpoint, and cloud environments; investigate suspicious activity and data-exfiltration indicators; respond to incidents using established playbooks; remediate phishing and malware threats; manage endpoint and identity-security workflows; support first-line IT requests; document tickets, incidents, and shift notes; monitor external attack-surface threats; and improve runbooks and knowledge-base documentation.

Own the real-time fraud decisioning platform and complete machine learning lifecycle, including feature infrastructure, model serving, feedback loops, fallback paths, monitoring, replay, shadow testing, staged rollouts, and model retirement. Lead technical direction through ambiguity, establish engineering standards, scale high-availability services under strict latency budgets, and ensure alignment between training and production serving.