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.
ROLE OVERVIEW
We are looking for a technically strong Senior Product Manager with hands-on experience building and launching AI-powered B2B enterprise products.
You will own product strategy, roadmap, and execution for intelligent products and platform capabilities that solve complex customer and operational problems. Working closely with Engineering, AI/ML, Design, and Data teams, you will take capabilities from discovery and prototyping through production deployment, adoption, and continuous improvement.
This role requires strong technical judgment, an understanding of enterprise workflows, and demonstrated AI product development experience—not just familiarity with AI tools.
KEY RESPONSIBILITIES
PRODUCT STRATEGY & OWNERSHIP
- Own the product vision, strategy, and roadmap, aligning enterprise customer needs with business priorities.
- Lead customer discovery to identify high-value problems and determine where AI, deterministic workflows, or a combination of both provides the best solution.
- Translate complex requirements into clear PRDs, user journeys, feature specifications, user stories, and measurable acceptance criteria.
- Prioritize initiatives based on customer impact, technical feasibility, dependencies, risk, and delivery effort.
- Own the product lifecycle from concept and validation through launch, adoption, and ongoing optimization.
AI PRODUCT DEVELOPMENT
- Lead the development of AI-powered experiences, including LLM-based applications, retrieval-augmented generation (RAG), and agentic workflows.
- Partner with AI/ML and Engineering teams on model selection, grounding, tool integrations, orchestration, and human-in-the-loop controls.
- Define agent behaviors, intent routing, skill specifications, policy configurations, permissions, and fallback mechanisms.
- Establish evaluation frameworks and curated golden datasets to assess accuracy, task completion, reliability, safety, and edge-case handling.
- Define release criteria and production monitoring, balancing output quality, latency, inference cost, and user experience.
- Use customer feedback, evaluation results, and production insights to continuously improve AI capabilities.
TECHNICAL PRODUCT LEADERSHIP
- Collaborate with Engineering on scalable services, Java-based microservices, Kafka event pipelines, and agentic platform integrations.
- Review system designs, API specifications, data models, and integration flows to clarify requirements and evaluate trade-offs.
- Define API requirements, data contracts, authentication and authorization needs, and failure-handling expectations.
- Partner with platform and data teams on schemas, instrumentation, observability, and integration dependencies.
- Ensure enterprise requirements—including security, privacy, access controls, reliability, scalability, and auditability—are incorporated into product decisions.
- Participate in technical troubleshooting and root-cause discussions with engineering teams.
DELIVERY, MEASUREMENT & ADOPTION
- Own backlog prioritization and partner with engineering Scrum teams to…