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Lead and operate Felix's US financial infrastructure and partner ecosystem. Architect banking and payment processor relationships, manage stablecoin and custody partners, translate product needs into partner SLAs, negotiate commercial terms, source vendors for credit products, and build a Partnerships function including playbooks and hiring 2-3 managers.

Lead Fraud Data Scientist to define ML strategy, build and productionize fraud detection models (including lending fraud), run advanced analyses and A/B tests, mentor the team, integrate ML with rule engines, and create dashboards to monitor fraud KPIs and model performance.

Design and build the central AI orchestrator (Maestro) and distributed agents; own containerized deployment, observability, LLMops, evaluation pipelines, RAG optimization, and technical leadership for agentic production systems.

Lead and mentor an AI engineering squad to design scalable AI architectures and deliver performant solutions. Partner with Product to prioritize roadmap, track metrics (usability, conversion, retention, F1), optimize development processes, drive technical decisions, and produce documentation to support long-term success.

Lead Felix's global pricing strategy and infrastructure. Design experiments, run elasticity and sensitivity analyses, and partner with Finance and Engineering to build automated or ML-driven pricing engines while ensuring transparent user-facing pricing and healthy unit economics.

Lead Felix's global pricing strategy and infrastructure. Define monetization trade-offs, run advanced pricing experiments and elasticity research, partner with Finance on unit economics, and collaborate with Engineering to build automated/ML-driven pricing engines while keeping pricing transparent and user-friendly.

Own and deliver end-to-end operational modules for the CX platform: build React UIs, TypeScript Node.js services, relational data models, secure BFF/aggregation layers, and RBAC-secured APIs to improve operator efficiency and reduce handling time.

Lead fraud detection and mitigation for a conversational BNPL product. Define fraud typologies, own repayment and chargeback analytics, manage fraud KPIs, design operational policies, collaborate on ML models and decisioning workflows, and coordinate SARs and compliance reporting.

Design, build, and scale production-grade, stateful autonomous AI agents for a WhatsApp-based fintech. Implement LLMOps, observability, RAG/vector DBs, containerized deployments (Docker/Kubernetes), eval pipelines, cost/performance optimizations, and mentor engineers to ship robust, tested agentic systems integrated with payments, fraud, and core product infrastructure.

Lead credit analytics for the Send Now Pay Later product: build and maintain credit policies, pricing models, vintage and NPV analyses, executive reporting, model integration and testing, and explore alternative data to optimize approval rates and portfolio health.