Job Summary:
Seeking a Technical Product Manager to manage the roadmap, intake, prioritization, and operational execution of an enterprise AI platform. This role will translate business priorities into sequenced engineering work, manage AI platform adoption and metrics, coordinate technical assessments, and support vendor evaluations. The ideal candidate will have strong technical product management experience and sufficient knowledge of APIs, identity, integration patterns, and AI systems to participate effectively in technical design discussions.
Key Responsibilities:
Own the AI platform roadmap and backlog, sequencing work based on business value and defined acceptance criteria.
Manage the portfolio intake process from initial request through technical assessment and decision documentation.
Coordinate technical assessments with enterprise AI architecture and engineering teams.
Treat the AI platform as a product by managing internal consumer onboarding, adoption, usage, and cost metrics.
Query data and build dashboards to support platform adoption, usage, and cost reporting.
Run vendor proofs-of-concept as structured product evaluations, including timelines, evaluation criteria, and decision documentation.
Partner with AI product and engineering stakeholders to translate prioritized business demand into scoped and sequenced engineering work.
Develop grounded and verifiable program metrics for executive reporting.
Establish and maintain product acceptance criteria and prioritization processes.
Support platform governance and continuous improvement initiatives.
Required Qualifications:
5-8+ years of experience as a Technical Product Manager or Platform Product Manager within a platform, API, or infrastructure organization.
Strong technical understanding of APIs, identity, integration patterns, and LLM-based systems.
Ability to query data, build dashboards, and prototype against AI APIs to validate product requirements.
Demonstrated experience managing intake and prioritization processes with decision-making responsibility across competing stakeholder groups.
Experience developing metrics programs, including instrumentation requirements, adoption reporting, and cost reporting.
Strong executive communication and technical writing skills, including decision memos, gate reviews, and metrics narratives.
Experience using AI-assisted tools such as Claude and Microsoft Copilot for analysis, drafting, and program operations.
Preferred Qualifications:
AI/ML platform product management experience.
Experience with enterprise transformation programs and external consulting partners.
Familiarity with value-realization or benefits-tracking frameworks.
Working knowledge of Azure DevOps or Jira at the workflow-design level.
