Senior Staff Technical Product Manager – Service Intelligence

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.

• 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.