Engineering Manager (Data Platform)

• 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, including Tier 0 ingestion endpoints and the pipelines and data stores behind them
• Partner with Product Management and consuming engineering teams to scope, estimate, and sequence roadmap work, making tradeoffs in real time
• Act as the primary communicator and point of contact for Data Platform with engineering leadership, partner teams, and customers
• Drive operational excellence: reliability, observability, cost, incident response, and on-call health
• Build team working norms that promote collaboration, reduce silos and bus factor, and keep engineers engaged
• Participate in hiring to grow the team and raise the engineering bar

Benefits

• Full Vision
• Full Dental
• Full Medical
• Flexible Schedule
• Healthy Lunches & Snacks
• Conference & Meetup Access
• Education Stipend
• Personalized Work Station
• Close to Public Transportation
• Bike Parking
• Team Activities
• Unlimited paid time off policy
• Work from home opportunities
• Health insurance- Experience with Go or Python, and with technologies such as Kafka or Kinesis, ClickHouse, Airflow, Athena or Iceberg, Elasticsearch, and Terraform is a plus
• Familiarity with observability practices (metrics, tracing, alerting, structured logging) and comfort leading production incident response
• 8+ years of experience in software engineering, with at least 2 years managing a team of backend or infrastructure engineers
• 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
• Strong communication skills in a distributed, cross-time-zone environment
• Track record of coaching and developing engineers, including performance management, career growth planning, and technical mentorship
• Experience owning high-throughput, reliability-critical production systems such as event ingestion, streaming or batch pipelines, or large analytical data stores