Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in San Francisco, United States"), this listing's salary midpoint is about 64% higher. The offer sits above the benchmark range (€10,707–€16,060). The listed pay band (€20,667–€23,250) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 3 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Software Engineer | €3,500/per month | €5,889/per month | €12,323/per month |
| All roles in San Francisco, United States | €10,707/per month | €14,107/per month | €16,060/per month |
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. At Discord, we believe everyone can find a place where they belong. Our mission is to help make it easy for everyone to find and join meaningful conversations and to make every part of our product feel smart and delightful. Discord is a rapidly scaling company that puts Data at the heart of its decision-making and future growth. The Experimentation team at Discord is responsible for building the tools, systems, and processes that empower Discord employees to continually test hypotheses and improve our product in a data-informed way. We are looking for a Staff Software Engineer to lead the development of Discord's next-generation experimentation platform, including building state-of-the-art AI assisted experimentation workflows. You will lead and mentor engineers, fostering their growth and enhancing their skills.
Job Details
Responsibilities
- Design, build, and support Discord's next generation experimentation platform including core services, data pipelines, configuration tooling, statistical analysis tools and UX
- Collaborate with external stakeholders and customers across the company
- Understand and influence product telemetry practices to support experimentation needs
- Build high-scale data systems and delightful user experiences for internal teams and features used by millions daily
- Deliver business results by collaborating with stakeholders to experiment on features, ML models, and more
Requirements
- 7+ years of experience as a full-stack SWE
- Built internal tools and are familiar with A/B testing and statistical frameworks
- Experience with experimentation tooling; building core parts of experimentation platforms from scratch is a huge plus
- Extensive experience leading complex technical projects with successful outcomes
- Built systems with strong data governance controls that respect privacy and security principles
- Proficient in Python and SQL; TypeScript or Rust a plus
- Experience with relational, NoSQL, and data warehouse datastores
- Strong product sense and communication skills; cross-functional collaboration
- Track record of developing engineers at multiple levels, and staying current with industry trends
- Bonus: experience building human-in-the-loop AI systems and AI product evaluation
- Bonus: cloud platforms like GCP or AWS
- Bonus: modern data processing stacks
- Bonus: full-stack development or product engineering experience
- Bonus: understanding of statistics, data science, or large-scale data processing
Skills & Technologies
| Location | Active listings |
|---|---|
| Remote - Global | 1 |
| Role type | Active listings |
|---|---|
| Engineering Manager | 1 |
| Role level | Active listings |
|---|---|
| Manager | 1 |
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