Scout Motors
Senior Staff Technical Product Manager-Service Intelligence
$160K–$212K
Fremont, California, United States +3 · Remote · Senior Staff · Full-time · Posted Sep 25, 2026
- Location
- Fremont, California, United States
Remote
Fremont, California, United States
Remote - Experience
- 12+ years of product management experience; experience leading 0-to-1 products in pre-launch, startup, or transformation environments.
- Education
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field. AI-related certification required.
About the job
Lead strategy and end-to-end development of a backend decision-intelligence platform that coordinates operational signals and workflows across Scout’s retail and service ecosystem.
What you'll do
- Define platform strategy and translate operational constraints into reliable, explainable decision logic.
- Lead cross-functional development with Engineering, Data Analytics, AI/ML, IT, and Operations, from initial design through launch and scale.
- Own live system behavior, including monitoring, tuning, rollout safeguards, reliability, and continuous improvement.
What they ask for
- 12+ years of product management experience focused on technical platforms, complex systems, or decisioning engines.
- Experience with AI/ML technologies and leading 0-to-1 products in pre-launch, startup, or transformation environments.
- Track record building logic-heavy or intelligence-driven systems; strong understanding of distributed systems, APIs, data architectures, and real-time processing.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field; AI-related certification required.
Nice to have
- Advanced technical degree or MBA.
- Hands-on experience with rules engines, optimization problems, or decision frameworks.
Pay
$160,000.00 - $192,500.00 (base salary); $176,000 - $211,750 (base salary)
Tools
AI/ML, distributed systems, APIs, data architectures, real-time processing, rules engines
AI focus
Champion AI, machine reasoning, and advanced analytics for decision-making; determine where AI augments human decisions versus automates execution, and ensure models and logic are transparent, testable, monitored, and continuously improved.
Model-written summary · the original posting is authoritative