Product Manager, Advanced Insights & Modeling

Block is a company focused on economic empowerment, and they are seeking a Product Manager for their Advanced Insights and Modeling team. This role involves owning the lifecycle of predictive models and collaborating with Machine Learning engineers to ensure successful model development and deployment.

Responsibilities:

• Own the forecasting product roadmap end-to-end — from problem definition through launch and iteration
• Define business context, success metrics, and constraints that keep work aligned with strategic goals
• Serve as the source of truth for model decisions; maintain clear documentation as systems evolve
• Manage project flow: prioritization, timelines, dependencies, and cross-functional alignment
• Partner with ML engineers to ensure models are grounded in a clear, well-articulated understanding of the data
• Conduct in-depth data analysis to inform model design — segmentation, feature engineering, and evaluation strategy
• Leverage AI tools to explore data, generate hypotheses, accelerate analysis, and synthesize insights
• Analyze forecast results to identify trends, variances, and actionable recommendations for model performance
• Translate complex analytical concepts for diverse audiences — executives, finance partners, technical MLEs, and marketing teams
• Drive adoption through in-product education, documentation, and feature rollout strategies
• Build relationships across Block to understand user needs and evangelize forecasting capabilities

Requirements:

• 6+ years in product management, management consulting, data science, model analytics or a 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 — you understand how macroeconomic shifts and monetary policy influence consumer behavior
• Executive presence — you can distill complex topics into clear, concise narratives for technical and non-technical audiences alike
• Proven ability to manage multiple workstreams, drive alignment, and deliver in ambiguous, fast-moving environments
• Comfort operating at both the strategic level (roadmap, stakeholder management) and in the weeds (data exploration, model evaluation)
• 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
• Familiarity with our stack: SQL, Python, GitHub, Databricks, Claude