Staff Software Engineer - Consumer Revenue (Fullstack)

Location: San Francisco Bay Area, United States

Salary: $248,000–$279,000 annual US base salary, plus equity and benefits.

Company

Discord is a multiplatform gaming and social platform that helps people connect around games and shared interests.

What you will do

• Accelerate existing revenue streams and establish new monetization opportunities across Nitro, Shop, Server Boosting, and User Identity.
• Own complex initiatives from requirements refinement and technical specifications through delivery.
• Partner with Product, Design, Data Science, Marketing, Staff Engineers, and other functions to align systems and product strategy.
• Advise leadership on engineering excellence, strategic planning, and high-impact technical decisions.
• Lead full-stack engineering across web, Android, and iOS while setting a high technical bar.
• Prototype features rapidly and use experimentation to guide decisions in ambiguous problem spaces.

Requirements

• 8+ years of software engineering experience and a record of leading large initiatives from inception to launch.
• Expertise in React and React Native with solid Python backend development skills.
• Experience with web technologies including React and TypeScript, mobile development with React Native, and backend systems in Python.
• Understanding of React performance and client-server performance optimization.
• Strong product sense, technical leadership, ownership, and first-principles problem-solving abilities.
• Ability to work in the San Francisco Bay Area.

Nice to have

• Experience with growth, revenue generation, product monetization, user engagement, or retention systems.
• Experience using structured experimentation and data-driven decision-making.
• Experience identifying and solving bottlenecks in consumer-facing applications with large active user bases.
• Passion for Discord and its gaming community.

Culture & Benefits

• Equity and benefits are included in the compensation package.
• Cross-functional collaboration across Product, Data Science, Design, Marketing, infrastructure, platform, and product teams.
• Commitment to inclusion and reasonable accommodations during the interview process.