Overview
Own product strategy for AI- and systems-driven Service capabilities across the dealership service value chain, from scheduling through invoicing, for BDC agents, technicians and service advisors.
What you'll do
- Own the end-to-end product lifecycle for AI/ML-powered Service capabilities across Scheduling, Repair Order Management, Parts Operations, Technician Workflows, and Invoicing
- Partner directly with ML/AI engineers to identify, prioritize, and productize AI use cases
- Define success metrics (accuracy, adoption, time saved, workflow efficiency) and hold the roadmap to them
- Design solutions that scale across dealership sizes, service volumes, and regional requirements
- Set the systems design and framework standards other PMs on the team build against
- Use data to decide what to build next
What you'll need
- 8+ years of Product Management experience owning customer-facing SaaS products
- 2+ years of hands-on AI/ML product management experience, building ML-powered features and working directly with data scientists or ML engineers, with understanding of the model lifecycle end to end
- Strong systems design and product architecture skills to design a scalable, extensible technical solution and explain why it is the right one
- Experience leading distributed onshore and offshore teams
- Strong business acumen and the judgment to prioritize ruthlessly
- Excellent written and verbal communication, with the ability to partner closely with ML/AI engineers, design, data science, and GTM
Nice to have
- Experience in automotive service or aftermarket, or with dealer/OEM service workflows
- Understanding of diagnostic workflows, scheduling systems, or parts catalog systems
- Hands-on experience with LLMs, NLP, or recommendation systems
- Familiarity with responsible AI principles and model explainability
- Background in operations research, process optimization, or workflow automation
Details
Read the full description and apply on the company’s own careers page.