Staff Product Manager

Tekion · Software & Internet

Bangalore HQ
On-site
Posted about a month ago
Product Management
FullTime

About the job

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.

Key Responsibilities

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

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

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

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

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

Data-Driven Decision Making

Define success metrics and KPIs for product areas, including adoption, time savings, workflow efficiency, integration reliability, and customer impact

Use data to prioritize investments, evaluate performance, and guide post-launch iteration

Cross-Functional Leadership

Lead complex initiatives across Engineering, ML/AI, Design, Data Science, Partner Engineering, Professional Services, Customer Success, Sales, and Marketing

Align stakeholders across product verticals to ensure roadmap coherence, platform consistency, and strong execution quality

Platform & Scale Thinking

Design solutions that scale across dealership sizes, parts volumes, and evolving partner ecosystem needs

Balance innovation with reliability, ensuring AI and integration solutions are practical, configurable, and sustainable

Execution with Velocity

Enable teams to move fast without breaking things by clarifying priorities, managing dependencies, and making informed trade-offs across short-term needs and long-term strategic bets

Support launches, escalations, and go-live readiness for complex dealer, enterprise, and OEM facing initiatives

Requirements

8+ years of Product Management experience owning B2B SaaS products, enterprise workflows, integrations, APIs

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, with the ability to define scalable and extensible technical solutions

Strong automotive domain experience, with familiarity in OEM integrations, dealership systems, fixed ops workflows, parts operations, or adjacent automotive retail processes

Experience owning complex product areas that require deep cross-functional collaboration and strong technical fluency

Strong business acumen with the ability to operate in complex, multi-stakeholder environments

Proven track record of driving product adoption and measurable business impact

Excellent written and verbal communication skills

Experience partnering closely with Engineering, Design, Data/AI, GTM, and Customer Success teams

Strong prioritization skills and ability to align stakeholders across functions

Hands-on product leader with strong judgment, ownership, and bias for action

End-to-end ownership of the product lifecycle, including discovery, execution, launch, adoption, and post-launch iteration

Preferred Skills

Experience in the automotive parts, fixed ops, aftermarket, or dealership technology space

Understanding of dealership parts workflows, inventory operations, repair-order-driven parts fulfillment, and wholesale parts processes

Experience defining or launching AI/ML-powered product capabilities such as copilots, recommendations, intelligent search, summarization, or workflow automation

Experience with OEM systems, third-party automotive platforms, parts catalog/content providers, or eCommerce ecosystems

Experience with REST APIs, web services, webhooks, EDI, file-based integrations, and API driven ecosystems

Familiarity with LLMs, NLP, recommendation systems, or workflow automation concepts

Understanding of integration and data exchange standards such as JSON, XML, authentication/authorization, observability, and error handling

Current Tekion Employees: Please apply via the Internal Job Board in Ashby

Note: Tekion recently transitioned to a new recruiting tool and we appreciate your patience and feedback as we adjust to our new system!

Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics.

For more information on our privacy practices, please refer to our Applicant Privacy Notice here https://tekion.com/legal/privacy/applicant-and-candidate-privacy-notice.

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