Senior AI Principal Technical Product Manager

Location: St. Louis

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Job Description # Senior AI Principal Technical Product Manager We are seeking a highly skilled
** Principal Technical Product Manager (TPM)
** with a strong foundation in
** AI implementation
** to join a complex, enterprise-scale delivery environment. This contract role serves a dual purpose: ensuring seamless execution of current product roadmaps while acting as an internal
** AI catalyst
** to modernize product architecture, tooling, and Agile delivery practices.
* ** Strategic Delivery Ownership
*** Assume immediate TPM responsibilities for a subset of enterprise products, partnering with Business Product Managers and distributed engineering teams to drive reliable, on‐time delivery.
* ** AI‐Enabled Delivery Enablement
*** Lead a critical internal initiative to embed AI into the Software Development Life Cycle (SDLC). Partner with Scrum Masters and Product Owners to implement AI‐driven automation for backlog refinement, sprint reporting, and workflow optimization.
* ** Architectural Partnership
*** Work closely with Technical Architects to roll out modern technical specification frameworks and developer productivity tools (e.g., Spec Kit, Git Hub Copilot) across engineering teams.
* ** Cross‐Portfolio AI Leadership
*** Once delivery teams are stabilized, transition to driving AI initiatives across a broader product portfolio.
* ** Strategic AI Road mapping & Integration
*** Act as the bridge between technical strategy and execution—evaluating feasibility, selecting appropriate models and architectures (e.g., RAG, APIs), and ensuring secure, scalable implementations.
* ** AI Knowledge & Enablement
*** Lead AI upskilling and knowledge sharing across Product and Technology organizations. Champion best practices and hands‐on adoption of a modern AI toolchain, including platforms such as Git Hub Copilot, Gemini, Vertex AI, MCP (Model Context Protocol) servers, Custom Skills, and Notebook

LM.
* ** Define AI Success Metrics
*** Establish and evaluate success metrics for AI‐powered products and internal workflows, maintaining a high standard for quality, usability, and adoption.
* ** Drive Rapid Iteration
*** Partner with Architects, Engineers, and Data teams to continuously refine and improve AI integrations (hands‐on coding not required, but strong technical fluency is essential).
* ** Translate Complexity
*** Convert complex AI and technical concepts into clear Product Requirements Documents (PRDs) and technical specifications.
* ** Govern & Scale
*** Define AI governance standards and best practices to ensure solutions are secure, scalable, cost‐effective, and repeatable.
* ** Global Collaboration
*** Effectively partner with US‐based stakeholders and international engineering teams across time zones.
* ** Technical Product Leadership
*** 7+ years of experience in Technical Product Management, ideally owning complex, multi‐team portfolios or operating at a senior/principal level.
* ** Applied AI Product Experience
*** 1–2+ years of hands‐on experience delivering AI‐enabled or LLM‐based products, features, or workflows (or equivalent experience through pilots, product ownership, or deep collaboration with AI engineering teams).
* ** Strong AI Literacy
*** Solid understanding of AI agents, agent orchestration, prompt‐driven workflows, data pipelines, API latency considerations, and token economics.
* ** Modern AI Toolchain Expertise
*** Hands‐on experience or deep conceptual familiarity with platforms and tools such as Vertex AI, Gemini, Git Hub Copilot, MCP servers, and Notebook

LM.
* ** Engineering & SDLC Modernization
*** Proven experience helping teams adopt new technical standards, frameworks, or architectural patterns (e.g., Spec Kit, API standards, RAG architectures).
* ** Regulated Environment Experience (Preferred)
*** Prior experience in highly regulated or compliance‐driven industries is a strong plus.

We are
** not
* * seeking someone who simply “knows how to use ChatGPT.” This role requires a true
** Technical Product Manager
** with
** 1–2+ years of direct experience integrating LLMs, AI agents, or machine learning models
** into software products or internal workflows. The ideal candidate is comfortable bridging…