Product Manager

Key Responsibilities

• ● Portfolio & Backlog Ownership: Translate ambiguous financial problems into clear epics, user stories, and acceptance criteria. Prioritize features across multiple competing use cases and hold firm MVP boundaries. ● Accuracy Strategy & Governance: Define, benchmark, and defend accuracy metrics across different financial use cases. Establish baselines against legacy manual processes and partner with data science to align metrics with business objectives. ● Financial & Data Alignment: Partner with controllership and FP&A to account for complex financial mechanics—such as fiscal period structures, GL groupings, and data posting schedules—within the product architecture. ● Stakeholder Alignment & Decision Driving: Facilitate alignment between executive leaders on metric definitions, governance, and accountability structures. ● Product Trust & Transparency: Design feature capabilities that offer auditability, clear model explainability, user override logic, and snapshotting capabilities. ● Rollout & Adoption: Oversee pilot design, success criteria, user access rules, and deployment schedules, tailoring releases around core operational blackouts (e.g., year-end close).
• What You Bring ● 2+ years as a Product Manager delivering enterprise software or data/AI products in an Agile environment. ● Hands-on experience with Forecasting or Predictive ML products: You have owned products where time-series forecasts, demand projections, or financial numbers drive user decisions, and you have owned accuracy and baseline metrics directly. ● Financial & Commercial Literacy: Comfortable navigating P&L dynamics, variance analysis, and operational numbers (formal accounting degree not required). ● Data Fluency: Proven ability to diagnose whether performance bottlenecks stem from model architecture, pipeline logic, or underlying source-system data quality. ● Executive Stakeholder Management: Ability to lead decision-making workshops, resolve conflicting mandates across functions, and defend product trade-offs.
• What Will Make You Stand Out ● Cross-Domain Forecasting Experience: Background in demand forecasting, supply chain planning, inventory optimization, or FP&A/corporate finance platforms. ● Enterprise ERP & Systems Integration: Experience integrating products alongside enterprise ERPs or planning tools (e.g., SAP, Oracle, Workday, Anaplan). ● Technical Familiarity: Understanding of time-series modeling approaches, feature stores, backtesting, and model orchestration concepts. ● Frontline Operational Focus: Experience building products used by distributed frontline operators (e.g., store managers, site leads, regional operations).

Position Details