Lead AI Product Manager

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 Description

This is an exciting time to be building applications, particularly in the realm of Vertical AI solutions. Tekion provides a Vertical AI solution for the Automotive Industry. We are seeking a Lead Product Manager - Data, ML and AI Product Management to work with us in the development of comprehensive AI solutions for our Vertical AI Platform and Applications. Your role will involve laying the groundwork for our AI Agentic Platform, making strategic decisions on the selection of Large Language Models (LLMs), and integrating these models into our Enterprise AI SaaS stack. You will straddle between Generative AI, Agentic AI and Predictive AI, depending on the needs of the business. This position demands a strategic thinker with profound technical expertise and robust product management skills. You will work closely with Data Engineers, Machine Learning Engineers, Data Scientists, and key business stakeholders to create AI solutions that transform how the automotive industry operates. Tekion, valued at $4B in its latest round, is growing at 50% YoY with over $200M in ARR. Best part, we’ve barely scratched the surface of our total addressable market (TAM). Join us as we redefine consumer, dealership, and OEM experiences in the automotive industry.

Key Responsibilities

• Vision & Strategy : Spearhead the development and implementation of cutting-edge AI solutions by crafting the vision, strategy, roadmap, and execution plan.
• Product Development : Build detailed product requirements, narratives, and technical specifications. These should be driven by customer feedback and intuitive product thinking.
• Re-Imagine User Experience : You'll take the lead in re-imagining the end-to-end User Experience of our product, optimizing for an AI-first world. You will do this across our Web and Mobile applications.
• Data-Driven Insights : Utilize data to deeply understand user needs and guide future product development. Build the necessary Analytics layer to enable data-driven decision making.
• Cross-Functional Collaboration : Work closely with engineering, product design, cross-track product management and GTM teams to bring new capabilities to life.
• Drive Engineering Design and Excellence : Stay ahead of the technology curve. Leverage Agentic AI, Generative AI, Predictive AI and Analytics to optimize dealership and enterprise workflows.
• Drive Internal AI adoption : Facilitate AI adoption within Tekion by assessing partnerships and driving POCs with innovative AI startups, data providers, and cloud vendors. The objective is to enhance the productivity of all Tekion teams through tailored AI solutions

Skills and Experience

Preferred Skills

Perks and Benefits

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.