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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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