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Senior Machine Learning Modeler working on financial crimes detection using Machine Learning and Generative AI technologies at Cash App.

Platform Product Manager role at Cash App responsible for guiding platform product vision, collaborating with stakeholders, prioritizing issues, defining success metrics, managing launches, and promoting platform achievements.

Seeking a seasoned product lead to set the product vision and lead the strategy and execution for the Bitcoin Platform team. Responsibilities include collaborating with leadership to set the platform vision, working with cross-functional teams, managing product backlog, tracking KPIs, and conducting user research. Requires 15+ years of experience in financial services/technology, team development, and people management, as well as strong knowledge of Bitcoin infrastructure, regulatory requirements, and blockchain technology.

The Senior Machine Learning Engineer will work on detecting and reporting illegal and suspicious activity on Cash App using Machine Learning and Generative AI technologies. Responsibilities include building and enhancing batch and real-time inference services, unblocking access to infrastructure/tools for ML development, partnering with ML modelers, and influencing team culture.

Define product strategy, roadmap, and prioritization for customer support product. Lead Product Managers and cross-functional teams. Partner with Customer Operations team and other departments. Drive customer empathy, resilience, and strategic thinking. Work on large-scale operational teams and leverage Machine Learning/AI for efficiency.

As a Senior Data Scientist at Cash App, you will analyze large datasets, apply statistical modeling techniques, design and analyze experiments, build metrics, and communicate insights to stakeholders. You will work on the peer-to-peer lending product and collaborate with cross-functional teams to improve customer experience.

Develop and own best practices for monitoring services and distributed systems at scale. Collaborate with teams to shape the future and ensure high-quality features are shipped. Provide support and guidance in utilizing observability tools and systems. Work with cloud infrastructure, infrastructure as code, and container schedulers.