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Tekion

Automotive Retail Cloud (ARC) · Cloud-native platform

Staff Product Manager Chennai (India)

ChennaiPosted 1 month ago
Product And Program ManagementStaff+Full Time; Regular
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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. Job Introduction We are seeking a senior, technically robust Product Manager to own platform capabilities across one of our engineering Scrum teams while driving customer-facing outcomes and continuous improvement. This role requires close collaboration with Engineering, AI, and platform teams, along with hands-on understanding of event-driven systems, agentic AI integration, scalable service design, and data-driven product development. Key Role & Responsibilities Own the product backlog for a Scrum team writing explicit, actionable user stories, acceptance criteria, and feature specifications aligned with business goals. Partner closely with Engineering and AI teams to deliver high-quality solutions across Java microservices, Kafka event pipelines, and agentic platform integrations. Collaborate with platform and infrastructure teams to ensure seamless integrations, well-defined data contracts, and API alignment. Track success metrics, adoption, and outcomes iterating rapidly based on data and field feedback. Author Intent definitions, Skill specifications, 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. Job Introduction We are seeking a senior, technically robust Product Manager to own platform capabilities across one of our engineering Scrum teams while driving customer-facing outcomes and continuous improvement. This role requires close collaboration with Engineering, AI, and platform teams, along with hands-on understanding of event-driven systems, agentic AI integration, scalable service design, and data-driven product development. Key Role & Responsibilities Own the product backlog for a Scrum team writing explicit, actionable user stories, acceptance criteria, and feature specifications aligned with business goals. Partner closely with Engineering and AI teams to deliver high-quality solutions across Java microservices, Kafka event pipelines, and agentic platform integrations. Collaborate with platform and infrastructure teams to ensure seamless integrations, well-defined data contracts, and API alignment. Track success metrics, adoption, and outcomes iterating rapidly based on data and field feedback. Author Intent definitions, Skill specifications,

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