Leads end-to-end machine learning initiatives for Block’s support experiences, including conversational AI, chatbots, recommendation systems, and agent tools. Defines ML roadmaps, guides research into LLMs, RAG, fine-tuning, and real-time inference, and designs, deploys, and maintains production models. The role requires strategic technical leadership, cross-functional influence, stakeholder communication, and extensive experience delivering applied ML and generative AI systems.

Build and operate highly reliable card-issuing systems at the network boundary. Responsibilities include interpreting specifications, protocols, certifications, mandates, and production behavior; developing production software and conformance tooling; analyzing network messages; driving certification cycles; influencing card networks; mentoring engineers; applying AI-assisted engineering practices; and participating in on-call support for critical financial systems.

Lead end-to-end data science for lending products: define metrics, run experiments, build measurement systems, evaluate model and policy performance, use AI tools to accelerate analysis, and mentor the team while partnering with product, engineering, and risk stakeholders to drive credit product decisions.