Job description

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. As Group Product Manager for Data/ML, you'll drive the vision, strategy, and roadmap for Discord's Machine Learning Platform and its applications, particularly to Advertising, while also championing how the broader company uses data to make product decisions. 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, so you'll need to be comfortable driving alignment across stakeholders whose goals are sometimes in tension. What you'll be doing Guide the product philosophy, vision, and roadmap for Discord's ML Platform and its key use cases (Personalization, Notifications, Safety, Advertising, Recommendations). Own performance against key data and ML business metrics, and proactively report progress to stakeholders across the company. Collaborate deeply with Applied ML, ML Platform, and Data Science to build and prioritize the ML roadmap for our Advertising products. Advise product teams across Discord on how to build and instrument their products with data-first capabilities from the start. Drive cross-functional execution across all product areas, working with engineers/MLEs, security, legal, and policy partners as needed. What you should have 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 Points 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. Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available. For this role, the Hiring Manager would like folks to be in the office 3 days a week. The base salary range for this full-time position is listed below. This position will also be eligible for equity and benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in role postings reflect the base salary only, and do not include equity, or benefits. Base Salary $304,000 — $380,000 USD Why Discord? Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.

Requirements

Must-haves

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

Nice-to-haves

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.
Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlmachine learning

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Vision