Product Manager, Experimentation

Summary

Join Discord as a Product Manager on Experimentation and drive the vision, strategy, and roadmap for Discord’s Experimentation Platform. You will lead the effort to build systems and tools that increase experimentation confidence and velocity, empowering teams to develop and ship products faster and with greater confidence. This horizontal role supports many teams, requiring fluency in working with diverse stakeholders. Guide the product philosophy, vision, and roadmap for the Experimentation Platform, design and oversee development of platform improvements, partner with Data Science, Engineering, and Product teams, and develop educational materials and standards to improve experiment design and interpretation. The role requires strong technical skills, experience with experimentation platforms, and a passion for gaming. Discord offers a competitive salary, equity, and benefits.

Requirements

• The humility to do whatever is necessary to drive impact, to thrive in ambiguous environments, and to get excited about finding solutions to complex problems
• 5+ years of experience building and shipping great software, including responsibilities driving prioritization, trade-offs, and timelines
• Experience with experimentation platforms, A/B testing frameworks, or causal inference methodologies
• Strong understanding of statistical concepts relevant to experimentation (p-values, confidence intervals, power analysis, etc.)
• BA/BS in computer science, mathematics, physics, economics, or related field or equivalent years of experience
• Proven ability to analyze and synthesize data, including writing SQL, Python, and/or R and using BigQuery
• Demonstrated technical proficiency and effectiveness working closely with engineers
• A passion for games and the gaming industry

Responsibilities

• Guide the product philosophy, vision, and roadmap for our Experimentation Platform, addressing improvements in our current system
• Design and oversee development of systematic platform improvements that address known challenges (e.g. bias, sample ratio mismatch, etc.)
• Partner with Data Science, Engineering, and Product teams to up-level experimentation rigor and self-service utility across functions
• Develop educational materials and standards to improve experiment design and interpretation across the company

Preferred Qualifications

• Experience building or improving experimentation platforms at scale
• A degree in advanced quantitative subjects (e.g. statistics, engineering, finance, math)

Benefits

• Health insurance
• Retirement benefits
• Equity