Senior Product Manager

Overview

Senior Product Manager to own product strategy, roadmap, and execution for AI-powered B2B enterprise products on Tekion's automotive retail platform, taking capabilities from discovery and prototyping through production deployment, adoption, and continuous improvement.

What you'll do

• 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.
• 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.
• 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.
• Own backlog prioritization and partner with engineering Scrum teams to deliver outcome-focused releases.
• Define and track KPIs across adoption, task success, customer satisfaction, operational efficiency, AI quality, and cost.
• Validate solutions through prototypes, experiments, pilot programs, and customer feedback.
• Drive launch readiness, stakeholder communication, user enablement, and change management.
• Communicate roadmap decisions, dependencies, risks, and technical trade-offs clearly to technical and non-technical stakeholders.

What you'll need

• 5+ years of Product Management experience, with ownership of technically complex products.
• B2B enterprise product management experience, including addressing complex workflows, integrations, and the needs of multiple stakeholders.
• Proven experience building and shipping AI/ML-powered products into production, with direct ownership of discovery, requirements, evaluation, launch, and measurable outcomes.
• Strong practical understanding of LLMs, RAG, agentic workflows, tool calling, and AI limitations and failure modes.
• Experience defining AI evaluation criteria, test scenarios, quality benchmarks, and production feedback loops.
• Strong technical fluency across distributed systems, microservices, event-driven architectures, APIs, and data platforms.
• Hands-on experience working with RESTful APIs, webhooks, authentication mechanisms, and enterprise integrations.
• Ability to read and discuss architecture diagrams, API documentation, data models, and technical specifications with engineering teams.
• Strong analytical and structured problem-solving skills, with experience defining KPIs and using data to guide product decisions.
• Excellent written communication, stakeholder management, and cross-functional leadership skills.
• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related discipline, or equivalent practical experience.

Nice to have

• Experience building campaign management or CRM products.
• Experience with Model Context Protocol (MCP), agent orchestration, and reusable AI tools or skills.
• Experience authoring PRD-as-Code artifacts, including intent definitions, skill specifications, and policy configurations.
• Familiarity with Java-based services, Kafka, cloud infrastructure, and AI observability tools.
• Experience with AI security, privacy, prompt-injection risks, and responsible AI practices.
• Ability to use SQL, API testing tools, and workflow automation tools to validate assumptions and investigate issues.
• Prior experience in automotive retail, dealer technology, or enterprise operational workflows.