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Mid-level, popular Product Manager role in metros with broad AI-SaaS requirements increases candidate competition.
Product management and AI skills are transferable, but automotive/dealer context and enterprise SaaS specifics raise domain sensitivity.
Explicit 4+ years PM requirement plus Enterprise SaaS and AI-product experience creates moderately strict shortlisting.
Lead AI-first product strategy by defining and prioritizing AI-enabled features such as automation, predictive intelligence, and generative experiences across platform products.
Own product backlog and collaborate with R&D, Data Science, and Scrum teams to deliver complex, AI-driven enterprise SaaS products end-to-end.
Drive business case development, define key success metrics including AI-specific KPIs, and ensure responsible AI governance adhering to fairness, transparency, and privacy principles.
Bachelor’s degree in Computer Science, Business, Engineering, Data Science; or 7+ years related experience.
4+ years of Product Management/Product Owner experience in Enterprise SaaS environments.
Experience delivering complex products end-to-end, with Agile/DevOps and distributed teams.
Willingness to travel up to 25%.
Experienced in AI/ML-enabled product delivery with strong skills in defining epics and user stories and driving strategic execution.
Data-driven decision maker who uses experimentation and analytics to enhance product performance and align with measurable business outcomes.
Able to manage cross-product ecosystem alignment for integrated dealer experiences, ideally with knowledge of automotive, recreation, or heavy equipment industries.