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Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end AI/ML product lifecycle for Service capabilities including Scheduling, Repair Order Management, Parts Operations, Technician Workflows, and Invoicing in automotive dealership context.
Partner closely with ML/AI engineers to identify, prioritize, and productize AI use cases with direct involvement in model discussions.
Define and hold roadmap to measurable success metrics like accuracy, adoption, time saved, and workflow efficiency, while setting systems design and framework standards for the team.
Minimum Requirements
8+ years of Product Management experience with customer-facing SaaS products.
2+ years of hands-on AI/ML product management experience working with data scientists or ML engineers; building ML-powered features.
Strong systems design and product architecture skills with capability to design scalable, extensible technical solutions.
Experience leading distributed onshore and offshore teams.
Ideal Candidate Profile
Experienced in AI/ML product management with deep understanding of model lifecycle and integration at scale, not just theoretical knowledge.
Ability to set strategic frameworks around AI-powered systems in complex automotive service workflows, including scheduling and parts management.
Comfortable working cross-functionally with engineering, design, data science, and GTM teams to drive product decisions based on data rather than intuition.