Jobs at Cash App

The Front Office Brokerage Operations Lead manages the operations team, ensuring compliance with FINRA regulations, and oversees customer experience and operational efficiency.

Graduate research internship to own end-to-end research on Customer World Models and proactive intelligence: design representations, develop methods (foundation models, RL, causal reasoning, agentic systems), run experiments, publish, and help ship ML systems that anticipate and act on customer needs.

Graduate research interns will own end-to-end projects developing customer world models and proactive intelligence. Work spans representation learning, foundation models, reinforcement learning, agentic decision systems, and evaluation. Tasks include designing methods, running experiments, publishing findings, and potentially shipping models into production to impact customer-facing products.

The Global B2B Growth Marketing Lead will oversee B2B marketing strategies, manage teams focused on demand generation and lifecycle marketing, and collaborate across departments to enhance engagement and growth initiatives.

The Regulatory Program Owner oversees compliance functions for Cash App Investing, ensuring regulatory obligations are met while using AI tools to enhance processes.

Lead design and optimization of data models and pipelines for compliance and risk; standardize metrics and documentation; build data quality, lineage, and monitoring (including AI agents for automation); manage ETL scheduling, on-call pipeline support, and collaborate with product and non-technical partners to translate business needs into automated, production-ready data solutions.

Design, build, and operate production ML decision systems to detect and prevent payment fraud, account takeover, identity abuse, merchant/marketplace risk, scams, and other adversarial activity. Own end-to-end production lifecycle: data contracts, low-latency inference, batch scoring, feature quality, deployment, monitoring, incident response, rollback, and feedback loops. Develop AI-assisted workflows and reusable decision capabilities while partnering with modelers, product, compliance, and operations.

Design, build, and deploy transformer-based ML and LLM systems to automate risk investigations and decisioning. Own end-to-end pipelines (data ingestion, prompt tuning, orchestration, productionization, monitoring) and collaborate with product, engineering, and operations to deliver copilot/autopilot workflows that improve analyst productivity and eliminate manual reviews.

Design, build, and operate production ML signal systems—ranking, retrieval, recommendations, propensity, and next-best-action—covering feature/candidate generation, serving, experimentation, monitoring, and feedback. Define signal contracts (freshness, provenance, confidence), evaluate long-term impact (trust, fairness, compliance), and partner across product, data, and risk teams to deliver reusable customer-intelligence capabilities.

Lead the delivery of ML initiatives, define roadmaps with cross-functional teams, and develop ML models for conversational agents and smart tools, enhancing customer support.

As a Product Manager for GTM Automation, you will lead strategies for AI-powered products, identify automation opportunities, and collaborate across teams to optimize workflows and improve efficiency.

As a Senior Machine Learning Engineer in Model Risk Management, you will evaluate and validate models that assess risk in lending and fraud, ensuring their robustness and reliability. You will collaborate with model owners, tackle model challenges, and build evaluation tools critical for understanding model performance.

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 a Staff Solutions Engineer, you'll lead technical integrations, design solutions, collaborate with teams, and support customer engagements for Cash App's services.

As a Staff Software Engineer for Cash App Banking, you will lead technical strategies, influence architecture decisions, and mentor engineers to enhance consumer banking features.

The Staff Software Engineer will lead technical strategies for the Cash App Banking team, overseeing architectural decisions, mentoring engineers, and developing financial products that improve customer banking experiences.

The Design Director for Core Experience will lead a team of designers, driving product design excellence, strategy, and long-term vision for customer-centric financial solutions.

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.

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