Group Product Manager, Data/ML

location_on San Francisco Bay Area · Posted Oct 23, 2026
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Discord Greenhouse Board
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About the Role

Discord is looking for a Group Product Manager, Data/ML to drive the product philosophy, vision, and roadmap for our Machine Learning Platform and its core applications, with a dedicated focus on Advertising. Reporting directly to the VP of Product, Business, this is a high-visibility, horizontal leadership role that bridges core technical infrastructure and product teams across the entire organization.

About the Role

At Discord, millions of daily active users gather to hang out, play games, and build communities. Data and machine learning play an essential role in optimizing these user experiences—from personalization and recommendations to safety, notifications, and performance advertising. As the Group Product Manager for Data/ML, you will align cross-functional partners across engineering, data science, legal, security, and policy to build practical, scalable ML capabilities and champion a data-first product development culture across Discord.

Work Location & Hybrid Requirement

This role is located in the San Francisco Bay Area. Candidates must currently reside in or be willing to relocate to Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, or Sonoma county. This position requires working in the office 3 days a week. Relocation assistance may be available.

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Key Technical Responsibilities

  • check_circle Guide the product philosophy, vision, and roadmap for Discord's ML Platform and key use cases, including Personalization, Notifications, Safety, Advertising, and Recommendations.
  • check_circle Own performance against key data and ML business metrics, and proactively report progress to stakeholders across the company.
  • check_circle Collaborate deeply with Applied ML, ML Platform, and Data Science to build and prioritize the ML roadmap for Advertising products.
  • check_circle Advise product teams across Discord on how to build and instrument their products with data-first capabilities from the start.
  • check_circle Drive cross-functional execution across all product areas, working with engineers, machine learning engineers (MLEs), security, legal, and policy partners as needed.
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Prerequisites & Qualifications

  • check 8+ years of combined experience in data science and product management, including direct, hands-on experience as a data scientist or in a similarly quantitative role before moving into product management.
  • check 3-5+ years of product management experience owning algorithmic, data-driven systems (e.g., bidding, ranking, personalization, and/or recommendations systems), including responsibility for prioritization, trade-offs, and timelines.
  • check Proven ability to analyze and synthesize data directly, with comfort in the statistical and quantitative fundamentals behind modern ML systems.
  • check Demonstrated technical proficiency working closely with ML/data engineers, with enough familiarity with ML fundamentals to separate practical scalable solutions from hype.
  • check Experience operating across international or distributed teams and stakeholders.
  • check Must reside in or be willing to relocate to the San Francisco Bay Area (in-office 3 days per week).
  • check Bonus: Experience in performance advertising and real-time bidding specifically.
  • check Bonus: Proficiency in modern BI tooling (Looker, Tableau, or similar).
  • check Bonus: Passion for games, gaming, or online communities.
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About Discord Greenhouse Board

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Discord is a voice, video, and text communication service used by tens of millions of people to talk and hang out with their communities and friends. Operating primarily out of the San Francisco Bay Area, Discord's engineering and product teams build real-time, low-latency communication infrastructure designed to support massive scale, gaming communities, and diverse social spaces.

Engineering Culture: Discord fosters a collaborative and user-focused engineering culture centered around connecting people and building authentic communities. The company emphasizes engineering excellence, agility, and a passion for creating reliable, high-performance real-time communication tools.
Group Product Manager, Data/ML
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