LaunchDarkly helps teams safely manage code and AI agents in production with feature flags, progressive delivery, automated rollback, and runtime control. Backed by Bessemer, Insight and 500 Global.
About the role
We are seeking an Engineering Manager to lead LaunchDarkly’s Data Platform team and help shape the high-throughput data backbone behind our most important products. As Engineering Manager, you’ll lead a technically deep team building and operating the systems that ingest, process, and serve the real-time and batch data powering Experimentation, Metrics, Observability, Release Guardian, AgentControl, and Data Export.
What they're looking for
- 8+ years of experience in software engineering, with at least 2 years managing a team of backend or infrastructure engineers
- Experience owning high-throughput, reliability-critical production systems such as event ingestion, streaming or batch pipelines, or large analytical data stores
- Strong distributed-systems fundamentals and the judgment to guide technical tradeoffs with senior engineers
- Proven ability to partner with Product Management to translate business goals into engineering plans with reliable estimates
- Track record of coaching and developing engineers, including performance management, career growth planning, and technical mentorship
- Strong communication skills in a distributed, cross-time-zone environment
More about this role
We are seeking an Engineering Manager to lead LaunchDarkly’s Data Platform team and help shape the high-throughput data backbone behind our most important products. As Engineering Manager, you’ll lead a technically deep team building and operating the systems that ingest, process, and serve the real-time and batch data powering Experimentation, Metrics, Observability, Release Guardian, AgentControl, and Data Export.
Working primarily in Go and Python, your team tackles ambitious distributed-systems challenges with technologies including Kinesis, Airflow, Athena, and Iceberg on S3, ClickHouse, Elasticsearch, Terraform, AWS, and Datadog. From evolving real-time analytics and context data to strengthening streaming and batch pipelines, you’ll guide the platform that turns vast volumes of events into reliable, customer-facing product experiences while partnering across Core Engineering and product teams to make data faster, more resilient, and more useful for every LaunchDarkly customer.
Lead and develop a team of backend engineers, providing coaching, feedback, and career growth opportunities
Own the delivery, correctness, and resilience of Data Platform's production systems,...
Browse similar: Startup jobs · Remote jobs