Lead Product Manager

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.