Product Manager, Advanced Insights & Modeling

Block 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. We're looking for a strategic, analytically rigorous product leader who can operate at 10,000 feet while diving deep into the data. This role blends traditional product management with hands-on data science — you'll frame the business problem, shape the data strategy, and partner with ML engineers to deliver from conception to adoption.  What You'll Do Problem Framing & Product Strategy 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 Data & Signal Engineering 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 Stakeholder Communication & Adoption 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 What You Bring 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 We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page . While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted. Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. To find a location’s zone designation, please refer to this  resource . If a location of interest is not lis