Lead Product Manager - Media Platforms
Listed on 2026-08-30
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IT/Tech
AI Business & Operations
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.
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. It includes 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, using cutting-edge technology, big data, machine learning, and AI to bring together OEMs, retailers, dealers, and customers.
Tekion employs close to 3,000 people across North America, Asia, and Europe.
We're hiring a Lead Product Manager to own our Computer Vision and Video platform within Service Products. You'll set the product strategy for how vision and video capabilities get built into the Service experience, manage a small team, and coordinate with engineering across time zones.
We're looking for someone with strong product fundamentals who has shipped AI-native product before: you owned what the AI should do, not just where to bolt it onto someone else's roadmap. We also want someone who's actually managed people, with reviews, growth plans, and accountability for what their team delivers.
What You’ll Own- The Computer Vision and Video platform roadmap: what ships, in what order, and why
- AI-native product decisions within that scope, including when a model should inform a decision, act on its own, or route to a human
- A team of at least 2 direct reports
- Coordination across time zones between US-based product and distributed engineering teams
Set the vision for computer vision and video capabilities inside Service Products, and stay accountable for the outcomes, not just the launch dates.
Drive Business ImpactTie your roadmap to numbers that matter: adoption, accuracy, time saved, revenue impact.
Customer-Centric Product DevelopmentGet in front of the people using this product. Video and computer vision features get tested by service bay lighting and technicians in a hurry, and that's where you'll learn what actually works.
Cross-Functional LeadershipWork daily with engineering on model architecture tradeoffs, with design on how vision output gets surfaced to a technician mid-repair, and with data science on what accuracy threshold is actually good enough for this use case.
Platform & Scale ThinkingDesign so other teams can build on top of what you ship. This role is about a platform that scales across dealership sizes and use cases, not a single feature.
Manage your direct reports with the seriousness the job deserves, and set the standard for how AI-native product gets built on your team.
Execution With VelocityShip and iterate quickly. Platform ambition is not an excuse to move slowly.
Qualifications- 8+ years of Product Management experience owning customer-facing SaaS products, with strong command of the fundamentals: discovery, prioritization, roadmap definition, post-launch iteration
- Experience shipping AI-native product where you owned the decision of what the AI does and why
- Direct experience in Computer Vision and Video…
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