Senior Technical Product Manager

Responsibilities Define, evolve, and drive the product and ecosystem strategy for a confidential, intelligence-driven core platform supporting Scout’s operations and service experience. Define how complex operational signals, constraints, and policies are modeled into automated decision logic. Lead early-stage platform definition ahead of Start of Operations, building foundational capabilities with no existing baseline. Accountable for system performance across Scout’s direct-to-consumer retail network, ensuring decisions are reliable, explainable, and scalable. Influence senior leadership and align platform strategy with long-term company objectives while protecting sensitive capabilities. Identify new problem spaces and expansion opportunities for decision intelligence across additional domains and systems. Frame and solve highly ambiguous, cross-functional problems through intelligent system design and decision frameworks. Model operational constraints, dependencies, and priorities as structured logic, rules, or machine-assisted decision frameworks. Guide product development across multiple related initiatives, teams, and domains to ensure alignment with strategic objectives. Champion the use of AI, machine reasoning, and advanced analytics to enable scalable decision-making. Requirements 12+ years of product management experience with deep focus on technical platforms, complex systems, or decisioning engines. Experience working with AI/ML technologies in a product, engineering, or business context Proven experience leading 0-to-1 products in pre-launch, startup, or transformation environments. Track record of building logic-heavy or intelligence-driven systems that coordinate multiple inputs and constraints. Strong understanding of distributed systems, APIs, data architectures, and real-time processing Hands-on experience working with AI/ML systems, rules engines, optimization problems, or decision frameworks. Ability to reason deeply about tradeoffs between accuracy, speed, explainability, and scalability. Comfort working closely with engineers and data scientists on system design. Experience owning backend or platform products where value is delivered through system behavior and decision quality rather than user interfaces. Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field. Advanced technical degree or MBA preferred. AI-related certification required. #J-18808-Ljbffr