Product Manager, Advanced Insights & Modeling
Square (Block) · New York City, NY · 30403 Foundational - Guidance - Corporate Finance & Strategy
About this role
Square (Block) is hiring a mid-level Product Manager based in New York City, NY. The posting calls out experience with Python, R, SQL, Databricks. Compensation is listed at $163,600–$225,000 per year.
- Role
- Product Manager
- Function
- product
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- New York City, NY
- Department
- 30403 Foundational - Guidance - Corporate Finance & Strategy
More roles at Square (Block)
Job description
from Square (Block) careersBlock is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.
The Role
Block's Advanced Insights and Modeling (AIM) team is an intellectually diverse group of machine learning modelers, data scientists, former strategy consultants, and data engineers. We apply cutting-edge AI, graph analytics, and machine learning to solve high-impact business problems for Block's executive leadership.
Within this team, the Product group owns the end-to-end lifecycle of predictive models that serve stakeholders across Block — including Finance, Marketing, Sales, Legal, and Treasury. The product manager partners closely with Machine Learning engineers (MLE) to scope problems and data strategy and ensure successful model development, validation, deployment, and adoption. We continuously monitor model performance, share results and insights with business partners, and iterate to keep our tools trusted and relevant across a diverse set of use cases.