15h ago

Product Manager, Advanced Insights & Modeling

New York, NY

$163.6k-$279.4k / year

full-timesenior Remotefinance

๐Ÿ›  Tech Stack

๐Ÿ’ผ About This Role

You'll own the forecasting product roadmap end-to-end, partnering with Machine Learning engineers to deliver predictive models that serve stakeholders across Block. Your core impact is framing business problems, shaping data strategy, and driving adoption of cutting-edge AI and analytics. This role blends traditional product management with hands-on data science.

๐ŸŽฏ What You'll Do

  • Own the forecasting product roadmap from problem definition to launch and iteration.
  • Partner with ML engineers to ensure models are grounded in clear data understanding.
  • Conduct in-depth data analysis to inform model design and evaluation strategy.
  • Translate complex analytical concepts for executives, finance partners, and marketing teams.

๐Ÿ“‹ Requirements

  • 6+ years in product management, management consulting, data science, or hybrid analytical role.
  • Hands-on SQL proficiency and experience with Python (or R) for data analysis.
  • Strong understanding of forecasting models, time-series analysis, and ML applications.
  • Experience in financial services, fintech, or consumer finance.

โœจ Nice to Have

  • Prior experience at a strategy consulting firm or in a cross-functional analytics/strategy role.
  • Familiarity with our stack: SQL, Python, GitHub, Databricks, Claude.
  • Bachelor's or Master's degree in Business, Economics, Statistics, Computer Science, or quantitative field.

๐ŸŽ Benefits & Perks

  • ๐Ÿ’ฐ Market-based pay with zone-adjusted ranges.
  • ๐ŸŒ Remote work from anywhere in the US.
  • ๐Ÿข Inclusive workplace with equal opportunity and fair chance hiring.
  • ๐Ÿ—“๏ธ flexible time off (implied by remote culture).

๐Ÿ“จ Hiring Process

Estimated timeline: 3-5 weeks ยท AI estimate

  1. 1Recruiter Phone Screenยท 30 min
  2. 2Hiring Manager Interviewยท 45 min
  3. 3Technical Assessmentยท 60 min
  4. 4Onsite (Virtual) Panelยท 3-4 hours
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