Product Manager, Advanced Insights & Modeling

Block Block · Fintech · NY · Remote · 30403 Foundational - Guidance - Corporate Finance & Strategy

Product Manager for the Advanced Insights and Modeling (AIM) team, focusing on the end-to-end lifecycle of predictive models. This role involves partnering with ML engineers, defining product strategy, conducting data analysis, and driving adoption of forecasting models within a fintech company.

What you'd actually do

  1. Own the forecasting product roadmap end-to-end — from problem definition through launch and iteration
  2. Define business context, success metrics, and constraints that keep work aligned with strategic goals
  3. Serve as the source of truth for model decisions; maintain clear documentation as systems evolve
  4. Manage project flow: prioritization, timelines, dependencies, and cross-functional alignment
  5. Partner with ML engineers to ensure models are grounded in a clear, well-articulated understanding of the data

Skills

Required

  • 6+ years in product management, management consulting, data science, model analytics or a hybrid analytical role
  • Hands-on SQL proficiency
  • 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
  • Executive presence
  • Proven ability to manage multiple workstreams, drive alignment, and deliver in ambiguous, fast-moving environments
  • Comfort operating at both the strategic level and in the weeds
  • Prior experience at strategy consulting firm or in a cross-functional analytics/strategy role at a fintech or technology company
  • Bachelor's or Master's degree in Business, Economics, Statistics, Computer Science, or a quantitative field

Nice to have

  • Familiarity with our stack: SQL, Python, GitHub, Databricks, Claude

What the JD emphasized

  • Strong understanding of forecasting models, time-series analysis, and ML applications
  • Experience in financial services, fintech, or consumer finance
  • Comfort operating at both the strategic level (roadmap, stakeholder management) and in the weeds (data exploration, model evaluation)

Other signals

  • Product Manager for predictive models
  • Partner with ML engineers
  • Drive adoption of forecasting capabilities
  • Hands-on data analysis and model evaluation