Technical Product Manager - AI Platform

Compunnel Inc. is seeking a Technical Product Manager to help build and operate an enterprise AI capability through a vendor-agnostic architecture, AI foundation, and production use cases. The role owns the AI platform roadmap, intake and prioritization processes, internal adoption, vendor evaluations, engineering sequencing, and executive metrics reporting.

Responsibilities:

• Own the roadmap backlog: sequencing against business-value anchors and acceptance criteria for every use case
• Run the portfolio intake process end-to-end, coordinating technical assessment with the Enterprise AI Architect and keeping decisions documented
• Treat the platform as a product: onboard internal consumers and own adoption, usage, and cost metrics, building your own queries and dashboards where needed
• Run vendor proofs-of-concept as structured product evaluations: timelines, gate criteria, decision memos
• Partner with the AI Product Owner to convert prioritized business demand into scoped, sequenced engineering work
• Produce grounded, verifiable program metrics for executive reporting
• Have the intake process live and used for every new request
• See the roadmap backlog governing sprint commitments
• Deliver the first adoption, usage, and cost metrics into value reporting

Requirements:

• 5–8+ years as a technical product manager or platform product manager in a platform, API, or infrastructure organization
• Technical literacy that survives a design review: APIs, identity, integration patterns, and enough LLM-systems fluency to write honest acceptance criteria
• Hands-on enough to self-serve: you can query data, build a dashboard, and prototype against an AI API to test what you're asking engineering to build
• A track record running intake or prioritization processes with genuine decision rights among competing senior stakeholders
• Experience building metrics programs: instrumentation requirements, adoption and cost reporting
• Executive-grade writing — decision memos, gate reviews, metrics narratives — with samples available on request
• AI assistants in your daily toolkit — we work with Claude and Microsoft Copilot for analysis, drafting, and program operations, and expect the same fluency from you
• AI/ML platform product experience
• Enterprise transformation program exposure, including work alongside external consulting partners
• Familiarity with value-realization or benefits-tracking frameworks
• Working fluency with Azure DevOps or Jira at the workflow-design level