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Protocol Intelligence
Data-driven signals on your job's competitivenessSenior, metro-based product role with niche automotive+AI requirements yields moderate applicant competition.
Role demands automotive parts, OEM integrations, and ML product experience, limiting cross-industry transferability.
Explicit 8+ product years, 2+ years AI/ML product experience, and automotive domain expertise raise filtering strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end product strategy and execution for AI-powered workflows, OEM and third-party integrations, and API extensibility within the Parts value chain.
Define and deliver AI innovations that enhance dealership productivity and simplify parts workflows, focusing on user roles like Parts Managers and Fixed Ops leaders.
Collaborate cross-functionally with Engineering, ML/AI, Design, Data, GTM, and Customer Success teams to drive adoption, measurable business impact, and scalable integration solutions.
Minimum Requirements
8+ years in Product Management with B2B SaaS, enterprise workflows, integrations, and APIs.
At least 2 years of hands-on AI/ML product management experience working with data scientists/ML engineers and technology lifecycle.
Strong automotive domain expertise including OEM integrations, dealership systems, fixed ops, and parts operations.
Experience defining scalable system designs and managing cross-functional technical collaboration.
Ideal Candidate Profile
Senior product leader comfortable in complex technical B2B automotive SaaS environment with focus on AI and integration extensibility.
Demonstrated ability to translate AI and platform capabilities into practical dealer workflows and measurable operational improvements.
Proven strategist able to navigate multi-stakeholder environments and drive end-to-end product lifecycle with strong technical fluency and business acumen.
