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 seeking a senior, technically strong Product Manager to own platform capabilities across one of our engineering Scrum teams while driving customer-facing outcomes and continuous improvement. This role requires close collaboration with Engineering, AI, and platform teams, along with hands-on understanding of event-driven systems, agentic AI integration, scalable service design, and data-driven product development.

Key Responsibilities

• Own the product backlog for a Scrum team — writing clear, actionable user stories, acceptance criteria, and feature specifications aligned with business goals.

• Partner closely with Engineering and AI teams to deliver high-quality solutions across Java microservices, Kafka event pipelines, and agentic platform integrations.

• Collaborate with platform and infrastructure teams to ensure seamless integrations, well-defined data contracts, and API alignment.

• Track success metrics, adoption, and outcomes — iterating rapidly based on data and field feedback.

• Author Intent definitions, Skill specifications, and Policy configurations for the agentic platform layer (PRDas-Code approach).

• Design and maintain golden dataset scenarios used to validate intelligent capabilities before release.

• Drive change management and adoption of new features, tools, and platform capabilities.

• Build and maintain automations using workflow tools (Zapier or equivalent) to streamline internal processes.

• Demonstrate strong understanding of RESTful APIs, webhooks, and authentication mechanisms; troubleshoot integration issues hands-on.

• Work with data teams to define schemas, reporting views, and analytics instrumentation.

• Facilitate prioritization discussions, manage stakeholder expectations, and communicate trade-offs clearly across Engineering, Design, and Leadership.

Skills & Qualifications

• 7+ years of Product Management experience, preferably in platform, data-driven, or AI-enabled products.

• Strong experience collaborating with engineering teams on technical products — comfortable reading system designs, API specs, and data models.

• Proven analytical and problem-solving skills with a data-driven mindset; experience defining and tracking product KPIs.

• Hands-on experience with RESTful APIs, webhooks, and system integrations (ERP, CRM, data platforms, or cloud services).

• Familiarity with AI systems, LLM-based tools, and agentic AI patterns (intent routing, skill/policy design, MCP tools).

• Experience designing scalable, maintainable solution architectures in collaboration with engineering.

• Excellent verbal and written communication skills; strong stakeholder management across technical and non-technical audiences.

• Structured problem-solving and critical thinking; ability to navigate complex system trade-offs.

• Bachelor's or Master's degree in IT, Computer Science, Business Administration, or a related field.

Good to Have

• Experience authoring PRD-as-Code artifacts: Intent definitions, Skill specs, Policy configurations.

• Background in marketing technology, CDP, or customer data platforms.

• Experience with LMS platforms and user enablement programs.

• Prior experience in automotive retail or dealer technology.

Staff Product Manager