Drimva

ibotta

Senior Product Manager, Product Data

$128K–$153K

Hybrid - Denver · Hybrid · Manager · Full-time · Posted Aug 26, 2026

Experience
5+ years of product management experience, with at least 2 years owning backend, platform, or infrastructure-heavy domain.
Education
BA/BS in computer science, engineering, or a related technical field required.
Visa sponsorship
Applicants must be currently authorized to work in the United States on a full-time basis.

About the job

Owns the product data foundation of the Ibotta Performance Network, including the catalog, enrichment, identity resolution, search, and recommendations.

What you'll do

  • Set strategy and roadmap for the product catalog, APIs, management tools, and adoption of a trusted product data layer.
  • Build and improve automated product enrichment and identity resolution, including matching receipt text and retailer SKUs to canonical GTINs.
  • Deliver product search and recommendations, define product data metrics, and partner across teams to ensure data quality and integrity.

What they ask for

  • 5+ years of product management experience, including at least 2 years owning a backend, platform, or infrastructure-heavy domain.
  • BA/BS in computer science, engineering, or a related technical field required.
  • Familiarity with data modeling, APIs, and data pipelines; ability to interrogate data and contribute to technical design conversations.
  • Working understanding of ML-assisted data systems and hands-on, daily use of AI tools, with experience building AI-powered workflows, automations, or integrations.

Nice to have

  • Experience with CPG or retail product data, GTIN/UPC standards, GS1, or syndicated data providers.
  • Performance marketing, adtech, or retail media product experience.

Pay

$128,000 - $153,000 (base salary)

Tools

APIs, GTIN, Claude, ChatGPT, Copilot

AI focus

Owns AI/ML-adjacent product data capabilities, including automated enrichment and correction, identity resolution, and search and recommendations; the role also requires daily use of AI tools and experience building AI-powered workflows, automations, or integrations.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)