Senior Product Manager, Tekion

• 7+ years of Product Management experience owning customer-facing SaaS products
• 2+ years of hands-on AI/ML product management experience (building ML-powered features, working with data scientists/ML engineers, understanding model lifecycle)
• Strong system design and product architecture skills – ability to design scalable, extensible technical solutions
• Experience leading distributed onshore and offshore teams
• AI-first thought process and mindset – comfort with ambiguity, rapid learning, and translating technical AI/ML concepts into product value
• Strong business acumen with ability to operate in complex, multi-stakeholder environments
• Proven track record of driving product adoption and measurable business impact
• Excellent written and verbal communication
• Experience partnering closely with ML/AI Engineers, Design, Data Science, and GTM teams
• Strong prioritization skills and ability to align stakeholders across functions
• Hands-on product leader with strong judgment and bias for action
• End-to-end ownership of the product lifecycle, including post-launch iteration and model performance monitoring

Desirable

• 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 JiraHunters, 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
• 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 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
• 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
• 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
• 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
• 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 coherence, platform consistency, and responsible AI deployment
• Design AI/ML solutions that scale across dealership sizes, service volumes, and regional requirements
• Balance innovation with reliability, ensuring solutions are explainable, configurable, and sustainable
• Enable teams to move fast without breaking things – clarifying priorities, managing dependencies, and making informed trade-offs to hit both short-term goals and long-term AI/ML bets