Note: The job is a remote job and is open to candidates in USA. Scout Motors Inc. is an iconic brand redefining the pickup truck and rugged SUV marketplace. As a Senior Staff Technical Product Manager – Service Intelligence, you will lead the strategy and execution of a foundational backend intelligence platform that powers critical decision-making across Scout’s direct-to-consumer retail and service ecosystem.
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
- Drive solutions where “missing inputs” require downstream actions to resolve constraints rather than blocking outcomes
- Navigate ambiguity inherent to 0‑to‑1 product development, making informed tradeoffs as requirements and dependencies evolve
- Evaluate tradeoffs involving accuracy, speed, scalability, and explainability, including intangible system behaviors
- Ensure system behavior is consistent, explainable, auditable, and adaptable as business rules change
- Guide product development across multiple related initiatives, teams, and domains to ensure alignment with strategic objectives
- Lead end‑to‑end product development for a highly complex, logic‑heavy platform from concept through scale
- Collaborate closely with Engineering, Data Analytics, AI/ML teams, IT, and Operations to:
- Translate operational needs into system logic and technical requirements
- Define data models, decision flows, signal ingestion, and output generation
- Balance deterministic rules with AI‑assisted approaches where appropriate
- Ensure platform extensibility as new use cases and domains are added over time
- Establish best practices and frameworks for decisioning platforms adopted across related systems and teams
- Champion the use of AI, machine reasoning, and advanced analytics to enable scalable decision‑making
- Define where AI augments human decision processes versus fully automated execution
- Ensure models and logic are transparent, testable, and continuously improvable
- Collaborate with data partners to ensure high‑quality inputs, feedback loops, and monitoring
- Influence and align senior leadership, engineering, and cross-functional stakeholders on strategy, priorities, and tradeoffs
- Serve as a trusted partner to Business, Software Engineering, fellow Digital Product Customer Experience team, and Leadership teams
- Translate complex, cross‑functional needs into a shared technical and product vision without exposing sensitive strategy externally
- Lead alignment across teams with differing priorities, timelines, and constraints
- Build long‑term trust in the platform through transparency, reliability, and outcomes
- Build readiness for a mission‑critical platform before Start of Operations
- Define rollout strategies, guardrails, fallback behaviors, and manual override paths
- Ensure the platform supports consistent execution independent of location or context
- Define scalable operating models for how decision intelligence is embedded across systems and workflows
- Drive architectural decisions across systems, data flows, and integrations, balancing long-term scalability with short-term delivery needs
- Partner with Scrum and platform teams to deliver scalable, resilient, and secure architectures
- Define best practices for real‑time decisioning systems, data latency, reliability, and observability
- Proactively identify and mitigate technical risks in logic complexity, system dependencies, and edge cases
- Ensure solutions meet enterprise security, privacy, and compliance standards
- Treat the platform as a living system, ensuring post-launch stability and continuous evolution
- Own system behavior and decision quality once the platform is live, ensuring outcomes are accurate, explainable, and aligned with operational intent
- Monitor real-world system decisions to identify gaps, edge cases, and unintended outcomes
- Lead continuous tuning of logic, rules, thresholds, and AI-driven decision frameworks based on live data
- Define criteria for acceptable system behavior, including fallback paths, overrides, and escalation mechanisms
- Use system insights to influence product strategy and operational decision-making at a broader organizational level
Skills
- 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
- Demonstrated ability to define strategy in highly ambiguous environments
- Strong ability to influence senior leadership and align diverse stakeholders
- Exceptional analytical and structured problem‑solving capabilities
- Ability to define complex logic and decision flows with precision
- Strong written and verbal communication skills; able to simplify complexity without oversharing sensitive information
- Data‑driven mindset; comfortable working with metrics, experimentation, and system telemetry
- High tolerance for ambiguity; energized by building something new where the path is not fully defined
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
- Advanced technical degree or MBA preferred
- AI-related certification required
Benefits
- Competitive insurance including: + Medical, dental, vision and income protection plans
- 401(k) program with: + An employer match and immediate vesting
- Generous Paid Time Off including: + 20 days planned PTO, as accrued + 40 hours of unplanned PTO and 14 company or floating holidays, annually + Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders + Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave
Company Overview