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The role involves designing technical solutions for merchant integrations, collaborating with teams, and providing technical guidance, requiring extensive customer-facing experience.

Lead AI risk assessments for Generative AI and LLM use cases, ensuring compliance and safe deployment while collaborating with stakeholders across various departments.

As the Senior Data Scientist for AI & Model Risk, you will lead AI risk assessments, coordinate with stakeholders, evaluate AI system designs, and ensure compliance with risk management principles in financial services.

As an Engagement Marketing Manager, you'll lead customer activation and habituation strategies, run experiments, collaborate cross-functionally, and drive growth using data analysis and AI tools.

Design, build, and operate high-throughput, fault-tolerant ledger and settlement systems of record. Develop durable ledgering APIs, emit trusted finance data, maintain SLOs, debug production, lead projects, mentor engineers, and collaborate with product, finance, and treasury stakeholders.

Design, build, and operate high-throughput, fault-tolerant ledger and settlement systems of record. Develop durable ledgering APIs, settlement orchestration, and treasury automation. Ensure data contract integrity for downstream finance, run production systems to SLOs, debug multi-layer issues, lead and mentor engineers, and use AI tooling to reduce operational toil.

Lead end-to-end data science for lending products: define measurement frameworks, analyze experiments and cohorts, evaluate risk and model performance, use AI tools to accelerate analysis, build reusable tooling, and mentor junior scientists while partnering with product, engineering, and risk stakeholders.

Lead end-to-end data science for lending products: define measurement frameworks, analyze customer and risk data, design experiments, monitor model and policy performance, and build reusable tooling. Use AI tools and agent workflows to accelerate analysis, mentor junior scientists, set technical standards, and partner with product, engineering, and risk to drive product and business decisions.

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.

As a Senior Software Engineer on the Cash App Banking team, you will lead the design, execution, and delivery of banking features, collaborating across teams to enhance the user experience.