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TekionFound on the web

Posted 2w ago

Staff Product Manager

Pay

Not stated

Location

Bangalore HQ

On site

Skills this role screens for

restapicloudai/mlautomationcustomer successall cost centers

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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.

ABOUT THIS ROLE

We are seeking a Staff Product Manager to join the Tekion Parts Product team. In this role, you will drive strategic product initiatives across the Parts value chain, with a strong focus on AI-powered workflows, intelligent automation, and ecosystem connectivity.

You will own high-visibility, critical capabilities that improve dealership productivity, reduce manual effort, and simplify complex parts workflows for dealership users. This includes shaping Parts AI initiatives across the user journey, while also driving key capabilities across OEM integrations, third party integrations, and APC Studio / REST API extensibility.

You will work closely with Engineering, ML/AI Engineers, Design, Data, GTM, Customer Success, Professional Services, and Partner Engineering teams to define strategy, drive execution, and deliver measurable business impact. This role is ideal for a senior product leader who thrives in complex technical domains, brings strong customer empathy, and can translate AI and platform capabilities into practical dealership workflows in a fast-paced SaaS environment.

The work

Key Responsibilities

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Own Product Strategy & Outcomes

  • Own the end-to-end product lifecycle for strategic Parts capabilities across AI-powered workflows, OEM integrations, third-party integrations, and APC/API extensibility
  • Define and evolve the product strategy and roadmap for Parts AI and integrations, aligned with company goals, dealer needs, and long-term platform strategy

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Drive AI Product Innovation

  • Partner with ML/AI Engineers, Data teams, and Design to identify, prioritize, and productize AI use cases that deliver tangible value across Parts workflows
  • Translate AI capabilities into intuitive, workflow-embedded experiences for dealership users including Parts Managers, Parts Counterpersons, Service Advisors, and Fixed Ops leaders

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Extend Value Through Integrations

  • Drive strategy and execution for key Parts integration capabilities across OEM systems, third party partners, and APC Studio / REST APIs
  • Partner with Engineering and Architecture teams to design scalable, secure, and reusable integration patterns that improve connectivity, reliability, and extensibility

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Drive Business Impact

  • Drive adoption, workflow efficiency, and customer satisfaction for Parts AI and integrations capabilities, with clear accountability for usage, time savings, and operational improvements
  • Partner with GTM, Professional Services, and Customer Success teams to ensure product capabilities translate into measurable dealer value and successful go-lives

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Customer-Centric Product Development

  • Act as the voice of the customer, deeply understanding dealership parts workflows, OEM dependencies, operational pain points, and opportunities for workflow intelligence
  • Continuously gather and synthesize customer feedback, usage data, and field insights to inform product decisions and roadmap priorities

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Data-Driven Decision Making

  • Define success metrics and KPIs for product areas, including adoption, time sav

Tekion

Found on the web. You apply on the company's own site

View company page tekion.com

Where this listing comes from

From Tekion's own careers system (Ashby).

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