Technical Product Manager - Windchill AI

About the role

What you'll do

• We are seeking a technically strong and execution-oriented
• Principal Technical Product Manager
• to help define and deliver the next generation of
• Windchill AI
• capabilities, including AI Assistants, AI Agents, MCP Servers, semantic models and the underlying AI platform services that power intelligent experiences across the Windchill portfolio.
• The primary responsibility of this role is to translate product vision, customer needs, and business objectives into a clear, prioritized, and executable backlog for one or more Agile development teams. Working closely with Product Managers, customers, R&D, architects, UX, Quality Assurance, Technical Publications, Customer Success, and field organizations, the TPM serves as the bridge between product strategy and technical implementation.
• Success in this role requires a strong understanding of Windchill, experience with AI-powered solutions such as prompts, skills, agents, and enterprise integrations, and the ability to transform complex business and technical requirements into high-quality capabilities that deliver measurable customer value.
• What You Will Do
• The responsibilities below represent a superset of the work this role may perform. Actual day-to-day focus will vary based on product priorities, release objectives, customer needs, and organizational initiatives.
• Partner with Windchill AI R&D teams to define, prioritize, and maintain executable product backlogs.
• Translate customer needs, business objectives, and AI use cases into epics, user stories, acceptance criteria, and release plans.
• Own TPM execution for assigned capabilities through discovery, planning, development, validation, and release.

Nice to have

• Experience with Windchill AI capabilities, AI Assistants, AI Agents, MCP Servers, enterprise search, or semantic information models.
• Practical experience developing or defining AI-powered solutions, including prompts, skills, agents, retrieval workflows, or LLM-based applications.
• Familiarity with AI governance, evaluation, telemetry, and responsible AI practices.
• Experience working with cloud-based software platforms and modern web service architectures.
• Experience presenting product capabilities to customers, advisory boards, partners, or field organizations.
• Experience with Jira or similar Agile backlog and requirements management tools.
• Experience
• Typically 6 or more years of experience in enterprise software development, technical product management, engineering delivery, solution consulting, customer success, implementation, or other customer-facing technical roles.