Senior/Principal PM, Marketplace Discovery & Personalization

Roblox Corporation

San Mateo (CA)

On-site

USD 331,000 - 383,000

Full time

6 days ago
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Benefits offered by this job

Onsite office presence Tue-Thu

Job summary

Roblox Corporation in San Mateo, CA is seeking a Sr/Principal Product Manager for Marketplace Discovery and Recommendations. You’ll own the homepage experience, personalization, and the end-to-end marketplace storefront, balancing monetization with user satisfaction.

With 5–10+ years in product management across consumer or two-sided marketplaces, you’ll collaborate with engineers, data scientists, and designers to drive roadmaps, ship high-impact features, and scale content types using ML

Qualifications

  • 5–10+ years of Product Management shipping high-quality experiences.
  • Experience with feeds, personalization systems, and ML-based recommendations.
  • Experience owning ML systems and user-facing experiences with business goals.
  • Collaborative across analytics, business development, communications/PR, and marketing.

Responsibilities

  • Design homepage supporting multiple content types and the recommendation engine.
  • Own personalization for Marketplace balancing monetization and retention.
  • Partner with engineers, designers, and data scientists to build roadmaps.
  • Balance needs of a two-sided Marketplace and drive decisions with data and research.
  • Champion Marketplace and Roblox Economy across the company and community.

Skills

Product management
ML systems
Personalization
Two-sided marketplaces
Roadmap development

Tools

LLMs

Job description

Roblox Corporation in San Mateo, CA is seeking a Sr/Principal Product Manager for Marketplace Discovery and Recommendations. You’ll own the homepage experience, personalization, and the end-to-end marketplace storefront, balancing monetization with user satisfaction.

With 5–10+ years in product management across consumer or two-sided marketplaces, you’ll collaborate with engineers, data scientists, and designers to drive roadmaps, ship high-impact features, and scale content types using ML

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