Ibotta is seeking a Principal PM AI Enablement to join our team and contribute to our mission to Make Every Purchase Rewarding. In this role you will own the AI productivity infrastructure for Ibotta’s product organization — building and maintaining the systems skills context libraries and environments that allow product managers to get dramatically more leverage from AI tooling. In addition you’ll be responsible for building the environment within which the team can increase its AI fluency and effectiveness.

This is a high-impact individual contributor role that sits at the intersection of product management AI tooling and platform thinking. You are not building product features for customers — you are building the operating system that makes every PM on the team faster sharper and more consistent. You will accelerate delivery improve decision quality and systematically reduce low-value work across the product org.

This position is located in Denver Colorado as a hybrid position requiring 3 days in office (Tuesday Wednesday and Thursday). Candidates must live in the United States.

Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one.

What you will be doing:

• Guide the Product Team’s & Company’s strategy for AI adoption scaling infrastructure and driving maximum leverage across the enterprise

• Build maintain and expand the suite of AI-powered skills plugins & MCP servers used by the product team and others around the company to scale product judgement and overall effectiveness.

• Develop and maintain a structured “golden context library” of markdown files documenting how Ibotta’s product team operates: org structure initiative taxonomy product lines term glossary company performance context and decision-making norms — all optimized for AI consumption.

• Own the base templates and structured input formats for PRDs roadmaps business cases and product update posts — ensuring they are AI-optimized (well-structured consistently formatted context-rich) so any PM can produce high-quality artifacts with AI assistance.

• Partner with Finance to define and maintain the baseline metrics unit economics and financial assumptions that anchor PM-authored business cases across all product lines. Document assumptions and update base units as company performance data evolves.

• Ensure all PMs have correctly configured AI environments appropriate access to key data sources (Databricks Jira Slack Google Calendar Drive) and working skill setups. Serve as the internal expert on AI toolchain configuration — diagnosing access issues onboarding new PMs and keeping the environment stack current.

• Drive AI tool adoption across the product team through hands-on enablement training sessions and written documentation. Track usage patterns across the skill library and proactively identify gaps underused tools and opportunities for new workflows to improve a PM’s overall effectiveness.

• Partner with Engineering and IT to maintain appropriate data permissions and secure access patterns. Ensure PMs are accessing data for opportunity and launch evaluations appropriately.

• Embrace and uphold Ibotta’s Core Values: Integrity Boldness Ownership Teamwork Transparency & A good idea can come from anywhere.

What we are looking for:

• 8+ years in product management product operations or a comparable role with significant experience building internal tools workflows or platforms that serve other product teams.

• BA/BS in business technology or a related field required.

• Deep hands-on AI fluency — not just awareness. You should be an active daily user of AI tools (Claude ChatGPT Copilot or similar) and have experience building AI-powered workflows automations or integrations.

• Experience building and maintaining structured knowledge systems documentation frameworks or operational infrastructure for product teams.

• Expert systems thinking — you see the connections between templates context data access and skill design and you can architect an integrated system not just a collection of tools.

• Technically fluent: comfortable with markdown APIs dashboards Jira administration and light scripting. You don’t need to be an engineer but you need to build things.

• Exceptional communicator who can translate AI capabilities into practical PM workflows and drive adoption through influence not authority.

• Self-directed and ownership-oriented — this role has no direct reports but operates with senior-level influence across the entire product organization and key cross-functional partners (Engineering Finance Data Science Operations).

• Measured by outcomes like PM time saved per week skill library coverage and usage business case consistency initiative tracking accuracy and team AI adoption rates.

Experience in the following areas a strong plus:

• Building or managing MCP (Model Context Protocol) integrations Claude Cowork skills or similar AI agent frameworks.

• Performance marketing adtech or retail media product environments.

• Product operations or enablement roles where you built reusable infrastructure for other PMs.

• Prototyping with AI tools (e.g. Claude Code Cursor v0 Figma Make).