We9re looking for an Engineering Manager who gets excited about building world-class teams and data infrastructure at massive scale. Someone who cares deeply about the communities we serve and is passionate about developing engineers who build lovable products for Discord users and Discord engineers alike. You9ll lead a team building the next generation Data Platform that powers decisions for one of the most vibrant platforms in the world.
If you9re the kind of leader who lights up when coaching engineers, making tough technical decisions, and wants your team9s work to directly impact millions worldwide, we want to talk to you.To learn more about Discord9s Data Platform, read our engineering blog, including how we built our modern data stack leveraging open-source tools!This position is based in our San Francisco office.What You9ll Be Doing- Lead and grow one or more teams of engineers building data infrastructure that processes petabytes of data across millions of users
- Partner with People and Technical leaders to set technical direction and define the roadmap for your team(s)
- Drive a culture of 80/20 thinking, quality-centered execution, and timely decision-making to ensure your team consistently ships high-impact results
- Build strong relationships with cross-functional partners to align technical solutions with business goals
- Help your team navigate ambiguity while maintaining momentum toward business outcomes
What you should have- 2+ years of engineering leadership and 7+ years of software engineering experience with expertise in large-scale distributed systems or data infrastructure
- Strong people management skills including hiring, performance management, coaching, and conflict resolution
- Demonstrated ability to set the pace for a team, remove blockers, and drive projects to completion
- Excellent communication skills with ability to foster clear, effective dialogue across all levels and audiences
- Proven track record independently making sound technical decisions through ambiguity in partnership with cross-functional stakeholders
- Experience with the data ecosystem: pipelines, ETL, modeling, and/or warehousing (Kafka, Spark, Flink, Airflow, Dagster, SQL, etc.)
- Cloud infrastructure knowledge (AWS, GCP, Azure) or containerization (Docker, Kubernetes)
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.
The US base salary range for this full-time position is $248,000 to $310,000 + equity + 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 US role postings reflect the base salary only, and do not include equity, or benefits.
