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Salary: USD 304,000 - 380,000 / annual
Discord is seeking a Group Product Manager for Data/ML to drive the vision, strategy, and roadmap for Discord's Machine Learning Platform and its applications, particularly to Advertising. This is a horizontal role reporting to the VP of Product, Business that touches nearly every product team at Discord as well as core technical teams.
In this role, you will guide the product philosophy, vision, and roadmap for Discord's ML Platform and its key use cases including Personalization, Notifications, Safety, Advertising, and Recommendations. You'll own performance against key data and ML business metrics and proactively report progress to stakeholders across the company. You'll collaborate deeply with Applied ML, ML Platform, and Data Science teams to build and prioritize the ML roadmap for Advertising products. Additionally, you'll advise product teams across Discord on how to build and instrument their products with data-first capabilities from the start, and drive cross-functional execution across all product areas, working with engineers, MLEs, security, legal, and policy partners as needed.
This role requires comfort driving alignment across stakeholders whose goals are sometimes in tension, and operates across international or distributed teams. The position is based in the San Francisco Bay Area with an expectation of being in the office 3 days per week.
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 (e.g., bidding, ranking, personalization, and/or recommendations systems), including responsibility for prioritization, trade-offs, and timelines
- Proven ability to analyze and synthesize data directly, not just interpret it secondhand, including comfort with the statistical and quantitative fundamentals behind modern ML systems
- Demonstrated technical proficiency working closely with ML/data engineers, including familiarity with ML fundamentals, enough to cut through the buzz and separate what's practical at scale from what isn't
- Experience operating across international or distributed teams and stakeholders
BONUS:
- Experience in performance advertising and real-time bidding specifically
- Proficiency in modern BI tooling (Looker, Tableau, or similar)
- Passion for games, gaming, or online communities
