Top Tech Jobs & Startup Jobs

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.

Lead and mentor an AI engineering squad to design scalable architectures, prioritize technical roadmap with Product, track metrics (usability, retention, F1), drive deliverables, optimize processes, leverage AI tooling, and produce documentation to enable long-term technical success.

Lead fraud detection and mitigation for a conversational BNPL product: define fraud typologies, analyze repayment/chargeback trends, own fraud KPIs, design policies, collaborate on ML models and decisioning workflows, and coordinate SARs with Compliance.

Lead fraud risk for a conversational lending product (SNPL): define first-party fraud typologies, analyze repayment and chargeback trends, own fraud KPIs, design automated/manual blocking policies, coordinate ML/rules with central Fraud and Data teams, and liaise with Compliance on SARs and loan abuse.

The Head of Fintech Partnerships will oversee the financial infrastructure, manage relationships with various financial vendors, and lead partnerships to enhance Felix's payment capabilities.

Design, build, and scale production-grade, stateful LLM agents and integrations for payments, fraud, and loans. Ship hardened systems (Python, Docker/Kubernetes), implement LLM observability, optimize RAG/vector DB pipelines, create evals-as-code, and mentor engineers.

Design, build, and scale production-grade, stateful autonomous AI agents for a WhatsApp fintech product. Implement LLMOps, observability, containerized CI/CD deployments, RAG/vector DB pipelines, evaluation frameworks, and cost/performance optimizations. Mentor engineers and integrate agents with payments, fraud, and core infrastructure.

Design, build, and scale production-grade, stateful AI agents integrated into payments, fraud, and product systems. Implement LLMOps observability, containerized deployments, evals-as-code, performance/cost optimizations for RAG pipelines, and mentor engineers to productionize robust agentic workflows.

Own end-to-end execution for payout integrations and rail health: integrate and test new payout rails, monitor provider status, lead outage response, set up post-launch monitoring, intake and scope cross-functional requests, and produce runbooks/SOPs to scale operations.

Own execution of payout integrations and monitoring: lead end-to-end integration, testing, post-launch monitoring, outage response, provider health tracking, intake and scoping of cross-functional requests, and create runbooks/SOPs to scale operations.