Senior Product Manager
Listed on 2026-03-09
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IT/Tech
AI Engineer, Data Science Manager, Machine Learning/ ML Engineer
About Tekion
Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform.
The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.
We are seeking a Senior Product Manager to join the Tekion Service Product Team in Pleasanton. In this role, you will drive the application of AI/ML across the entire value chain of the Service Department – from Scheduling to Invoicing – for dealership users who repair vehicles. You will own high-visibility, critical capabilities that reduce manual steps and review time, empowering BDC Agents, Technicians, and Service Advisors to focus on their core expertise.
You will work closely with ML/AI Engineers, Design, Data, GTM, and Customer Success teams to define strategy, drive execution, and deliver measurable business impact. This role is ideal for an AI-first product leader who thrives in complex technical domains, brings strong customer empathy, and can translate cutting-edge AI/ML capabilities into practical dealer workflows in a fast-paced SaaS environment. Our team, known internally as the Jira Hunters, values precision, attention to detail, and a relentless focus on solving complex problems.
You will also extend the benefits of Service innovations to external vendor tools via Automotive Partner Cloud (APC).
- Own Product Strategy & Outcomes
- Own the end-to-end product lifecycle for AI/ML-powered Service capabilities across Scheduling, Repair Order Management, Parts Operations, Technician Workflows, and Invoicing
- Define and evolve the product strategy and roadmap for Service workflows, aligned with company goals, dealer needs, and AI/ML innovation
- Drive AI/ML Product Innovation
- Partner with ML/AI Engineers to identify, prioritize, and productize AI/ML use cases that deliver tangible value across the Service value chain
- Translate technical AI/ML capabilities into intuitive, workflow-embedded features for BDC Agents, Service Advisors, Technicians, and Parts Counterpersons
- Drive Business Impact
- Drive adoption, efficiency gains, and customer satisfaction for Service AI/ML products, with clear accountability for usage, time savings, and workflow improvements
- Partner with GTM and Customer Success teams to ensure features translate into measurable dealer value and operational excellence
- Extend Value via APC Integration
- Drive integration and value extension to external vendor tools through Automotive Partner Cloud (APC), enabling seamless ecosystem connectivity
- Collaborate with Partner Engineering teams to ensure Service innovations benefit the broader automotive ecosystem
- Customer-Centric Product Development
- Act as the voice of the customer, deeply understanding dealership service workflows, technician pain points, scheduling challenges, and parts operations
- Continuously gather and synthesize customer feedback, usage data, and field insights to inform product decisions and AI/ML model refinement
- Data-Driven Decision Making
- Define success metrics and KPIs for AI/ML product areas, including accuracy, adoption, time savings, and workflow efficiency
- Use data to prioritize investments, evaluate model performance, and guide post-launch iteration
- Cross-Functional Leadership
- Lead complex AI/ML initiatives across Engineering (ML/AI Engineers), Design, Data Science, Marketing, Customer Success, and Partner Engineering
- Align stakeholders across product verticals to ensure roadmap…
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