Senior Staff Technical Product Manager – Service Intelligence

Scout Motors Inc.

. Define, evolve, and lead product and ecosystem strategy for a confidential intelligence-driven core platform .

Posted 9/26/2026full-timeUnited StatesSenior💰 $176,000 - $211,750 per yearWebsite

Tech Stack

Tools & technologies

Distributed Systems

About the role

Key responsibilities & impact

Define, evolve, and lead product and ecosystem strategy for a confidential intelligence-driven core platform
Model operational signals, constraints, and policies into automated decision logic
Lead early-stage platform definition ahead of Start of Operations
Own system performance across Scout’s direct-to-consumer retail network
Identify expansion opportunities for decision intelligence across domains and systems
Solve ambiguous cross-functional problems through intelligent system design and decision frameworks
Lead end-to-end development of a complex logic-heavy platform from concept through scale
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
Establish best practices for decisioning platforms
Champion AI, machine reasoning, and advanced analytics for scalable decision-making
Define AI augmentation versus fully automated execution
Ensure models and logic are transparent, testable, and continuously improvable
Align senior leadership, engineering, and cross-functional stakeholders on strategy and tradeoffs
Build readiness, rollout strategies, guardrails, fallback behaviors, and manual override paths for a pre-launch platform
Drive architectural decisions across systems, data flows, and integrations
Define best practices for real-time decisioning, data latency, reliability, and observability
Ensure enterprise security, privacy, and compliance standards
Own live system behavior and decision quality after launch
Monitor decisions for gaps, edge cases, and unintended outcomes
Tune logic, rules, thresholds, and AI-driven decision frameworks using live data

Requirements

What you’ll need

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 coordinating multiple inputs and constraints
Strong understanding of distributed systems, APIs, data architectures, and real-time processing
Hands-on experience with AI/ML systems, rules engines, optimization problems, or decision frameworks
Ability to reason about tradeoffs between accuracy, speed, explainability, and scalability
Experience 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
Ability to define strategy in highly ambiguous environments
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
Data-driven mindset with comfort working with metrics, experimentation, and system telemetry
High tolerance for ambiguity and comfort building new products
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
AI-related certification required
Must be 18 years of age or older

Benefits

Comp & perks

Competitive medical, dental, vision and income protection insurance plans
401(k) program with employer match and immediate vesting
20 days planned PTO, as accrued
40 hours of unplanned PTO annually
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 bereavement, jury duty, voting time, or military leave
Competitive compensation and benefits supporting physical, mental, and financial wellbeing
Annual performance bonus program