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September 19, 2026

Senior Staff Product Manager, Recommendations Platform

Senior

205,500 - 278,000 USD/yr

Charlotte, NC

Quick Facts

  • Senior Staff Product Manager responsible for online (real-time) and offline (batch) recommendation platforms.
  • Owns unified strategy, roadmap, and platform modernization to power personalization across in-app and messaging channels.

Description

Own the recommendation platforms (online and offline/batch) that decide what each user sees and when—across the app and communication channels. Set a unified vision across real-time and batch systems, powering offers, content, stories, and personalized notifications. Guide a generational architecture shift while building reusable capabilities that unlock AI and personalization programs and extend them across the Consumer Group brands.

Role description

  • Own the vision and long-term strategy for recommendation platforms (real-time and batch).
  • Power real-time personalization at scale by orchestrating eligibility, business rules, model scoring, and ranking.
  • Drive offline/batch recommendations that generate personalized content for notifications and other channels.
  • Unify online and offline platforms on a shared roadmap so cross-channel learnings compound.
  • Build reusable, self-serve platform primitives for faster shipping by data science and product teams.
  • Modernize the recommendation architecture by migrating surfaces, scaling model serving/inference, decompose legacy components, and reduce technical debt.
  • Extend recommendation capabilities across Consumer Group brands.
  • Translate ambiguous needs into clear requirements, decision documents, and roadmaps; own strategy through execution and measurement.

Requirements

  • 8+ years of product management experience owning technical platform or infrastructure products in cross-functional environments
  • Deep technical fluency in APIs, distributed and real-time systems, and ML platform architecture
  • Experience with recommendation systems, ranking, personalization, or ML platforms (e.g., model serving/inference, feature stores, experimentation)
  • Proven ability to ship platform capabilities at scale across multiple teams
  • Strong reusable platform thinking (primitives, not one-off solutions)
  • Experience partnering with data science/ML teams to move models from concept to production
  • Track record of translating complex problems into decision documents and roadmaps that drive stakeholder alignment
  • Excellent written and verbal communication for both executive narratives and technical specs
  • Outcomes-motivated with comfort in ambiguity and rapidly changing priorities

Benefits

Competitive compensation package with pay-for-performance rewards; may be eligible for cash bonus and equity, plus benefits per applicable plans and programs.

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