Senior Product Manager

Tekion•Pleasanton, CA

37d

About The Position

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).

Requirements

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

Nice To Haves

Experience in the automotive service/aftermarket industry or with dealer/OEM service workflows
Understanding of automotive repair operations, diagnostic workflows, scheduling systems, or parts catalog systems
Experience with LLMs, NLP, or recommendation systems
Familiarity with responsible AI principles and model explainability
Background in operations research, process optimization, or workflow automation
Experience with platform integrations and API-driven ecosystems (Open AI and/or MCP experience a plus

Responsibilities

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

Benefits

Competitive compensation and generous stock options
100% employer-paid top-of-the-line medical, dental and vision coverage
Great benefits including unlimited PTO, parental leave and free snacks and beverages
The opportunity to work with some of the brightest minds from Silicon Valley’s most dominant and successful companies
Be part of an early stage, hyper-growth start-up with the opportunity to grow and prosper
Work on the latest and coolest technologies – everything is home-grown and built ground-up
A dynamic work environment with a strong sense of community and collaboration
The open and transparent culture that encourages innovation, rewards performance and discourages hierarchy
Exciting opportunities for career growth and development

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