Group Product Manager, Data/ML

Location: San Francisco Bay Area, US; candidates must reside in or be willing to relocate to Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, or Sonoma counties. Hybrid attendance is required 3 days per week in the office.

Base salary: $304,000–$380,000 USD per year, plus equity and benefits.

Company

Discord is a multiplayer social platform focused on helping people connect around games and shared interests and helping developers build and grow their businesses.

What you will do

• Define the product philosophy, vision, and roadmap for the Machine Learning Platform and its applications in personalization, notifications, safety, advertising, and recommendations.
• Own performance against key data and ML business metrics and report progress to stakeholders across the company.
• Collaborate with Applied ML, ML Platform, and Data Science teams to build and prioritize the ML roadmap for advertising products.
• Advise product teams on building and instrumenting products with data-first capabilities.
• Drive cross-functional execution across product areas with engineers, MLEs, security, legal, and policy partners.

Requirements

• 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.
• 3–5+ years of product management experience owning algorithmic, data-driven systems such as bidding, ranking, personalization, or recommendation systems, including prioritization, trade-offs, and timelines.
• Ability to directly analyze and synthesize data, with knowledge of the statistical and quantitative fundamentals behind modern ML systems.
• Technical proficiency working closely with ML and data engineers, including familiarity with ML fundamentals and the ability to evaluate what is practical at scale.
• Experience operating across international or distributed teams and stakeholders.

Nice to have

• Experience in performance advertising and real-time bidding.
• Proficiency with modern BI tools such as Looker, Tableau, or similar.
• Passion for games, gaming, or online communities.

Culture & Benefits

• Equity and employee benefits are included in addition to base salary.
• Relocation assistance may be available.
• Reasonable accommodations are available during the interview process.
• Work takes place in a hybrid office environment three days per week.