Jobs at Block

Lead end-to-end strategic, cross-functional Revenue initiatives including product and partnership launches. Develop integrated program plans, governance, and launch playbooks. Coordinate Product, Sales, Marketing, Finance, Legal, Risk, and Operations to ensure operational readiness, drive decisions, mitigate risks, and enable successful market delivery while building repeatable launch frameworks and executive communications.

As a Staff Machine Learning Engineer, you'll enhance credit products through advanced modeling techniques, data analysis, and ML operations, supporting robust decision-making processes.

Manage relationships with key Food & Beverage sellers, grow account-based revenue, and act as a consultant to achieve seller goals through technical solutions.

As a Business Development Representative, you'll reach out to potential merchants, promote Square's services, manage a sales pipeline, and exceed monthly sales quotas while advancing your sales career.

Own the full outbound sales cycle for mid-market merchants: prospect, build pipeline, run discovery and demos, negotiate multi-product deals, close new logos, forecast in Salesforce, and collaborate cross-functionally to exceed monthly and quarterly revenue targets.

Lead end-to-end data science for Cash App Lending: define measurement frameworks, run experiments, evaluate model and policy performance, use AI tools to accelerate analysis, partner with product, engineering, and risk, and mentor junior data scientists to drive product and risk decisions.

Build and deploy agentic and generative AI copilot and autopilot systems for Risk and Compliance. Own end-to-end systems (data, API integrations, prompt tuning, orchestration, monitoring). Leverage payment, blockchain, graph, and unstructured data to train transformer-based models. Collaborate cross-functionally to productionize and monitor ML at scale, driving strategic roadmaps and significant business impact.

The Staff Machine Learning Engineer will lead ML initiatives, partnering with multiple teams to enhance customer support through AI-driven solutions, focusing on conversational agents and research in chatbot architectures.