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 visionary Lead Product Manager to work with us in the development of comprehensive AI solutions for our Automotive Retail Cloud (ARC) Platform. 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. You will redefine selling experience for Automotive Dealerships; Buying and Ownership experience for car owners and ensure we are together ensuring safer yet fun drives.

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.   
• Rethink end-to-end User Experience: You will lead the charge in driving the rethinking of end-to-end user experience for a 
• 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: Evaluate partnership with Vendors with the goal of improving internal productivity of Tekion teams with AI Solutions.  

Skills and Experience

• 7+ years of experience in Product Management in B2B2C, B2B or B2C space 
• 3+ years in AI-focused product management in B2B2C, B2B or B2C space  
• Experience working closely and driving product requirements for Data Engineering, ML Engineering and Data Science teams. 
• Experience working in a SaaS offering in one or many of the following: Accounting, Payroll, CRM, ERP, DMS, eCommerce/Digital Retail, and Analytics.  
• Proven track record of launching AI-driven enterprise SaaS solutions at scale. 
• Experience building teams and growing organizations.  
• Deep understanding of LLMs, AI Agentic Platform, Generative AI and Predictive AI models   
• Ability to navigate and lead cross-functional teams through complex AI product development lifecycles.  

Preferred Skills

• Formal degree in a technical field such as Machine Learning, Statistics or Computer Science.  
• 10+ years of product management experience, ideally building SaaS platforms.  
• Familiarity with core AI platform elements such as Kubeflow, Pinecone, Langchain, etc.  
• Knowledge of AI tooling stack across one/many public cloud and Data vendors such as AWS Sagemaker, Azure ML, Google Vertex AI, Databricks, etc.  
• Familiarity with LLM-based applications and AI-enhanced customer engagement tools. 
• Strong technical acumen in cloud-based AI infrastructures and data pipelines. 
• Experience in automotive, supply chain, or enterprise AI SaaS solutions. 
• Experience managing large, technically complex engineering programs spanning multiple teams 
• A high degree of independent drive. 

Perks and Benefits

• Competitive compensation
• Generous stock options
• Medical Insurance coverage
• Work with some of the brightest minds from Silicon Valley’s most dominant and successful Companies