Principal Product Manager, AI Enablement

Ibotta•Denver, CO

4d•$200,000 - $220,000•Hybrid

About The Position

Ibotta is seeking a Principal Product Manager, AI Enablement to join their team. This role will own the AI platform infrastructure that powers Ibotta’s AI-enabled products, focusing on building a centralized context management layer, model management capabilities, and standardized patterns for AI development. The position is a high-impact individual contributor role at the intersection of AI infrastructure, platform product management, and enterprise-scale context systems. The goal is to make AI-powered product development faster, more reliable, and grounded in data. The role involves defining how Ibotta’s contextual data is structured, governed, and made available to AI products, as well as maintaining and evolving AI productivity infrastructure for product managers. The position is located in Denver, Colorado, with a hybrid work model requiring three days in the office. A relocation bonus is offered for candidates not based in Denver. Candidates must live in the United States.

Requirements

8+ years in product management with significant experience owning AI/ML platform products, developer platforms, or infrastructure products.
BA/BS in computer science, engineering, or a related technical field.
Deep, hands-on experience with AI infrastructure, including context management, prompt engineering at scale, and model evaluation.
Deep understanding of the AI model landscape, including strengths, limitations, and use cases of leading foundation models.
Experience building centralized data or context platforms adopted by multiple product teams.
Expert systems thinking to architect an integrated platform.
Technically deep: comfortable with APIs, data pipelines, model serving architectures, and working with ML engineers and data scientists.
Strong product judgment for platform products, balancing internal consumer needs and managing a platform roadmap.
Exceptional communicator capable of translating complex AI infrastructure concepts and business needs.
Self-directed and ownership-oriented, operating with senior-level influence.
Currently authorized to work in the United States on a full-time basis.

Nice To Haves

Model management platforms — evaluation frameworks, A/B testing for AI, prompt versioning, cost/quality trade-off optimization.
Building or managing MCP (Model Context Protocol) integrations, AI agent frameworks, or tool-use systems for LLMs.
Experience in performance marketing, adtech, or retail media product environments.
Prototyping with AI tools (e.g., Claude Code, Cursor, v0, Figma Make).

Responsibilities

Own the product strategy and roadmap for Ibotta’s centralized context management infrastructure.
Define and drive the model management strategy, including selection, deployment, evaluation, and governance of AI models.
Build paved roads for agentic products, providing standardized patterns, guardrails, and shared services.
Partner with Engineering and Architecture to design the technical infrastructure connecting data assets to AI systems.
Define integration patterns between Ibotta’s AI platform and core product surfaces.
Establish evaluation and observability frameworks for AI product quality.
Maintain and expand the suite of AI-powered skills, plugins, and MCP servers.
Develop and maintain a structured “golden context library” for AI consumption.
Drive AI tool adoption across the product team through enablement, training, and documentation.