Engineering Manager, Warehouse Scale

About this role

About the Job:

We're looking for an engineering manager for our Warehouse Scale team. In this role, you'll lead the team that builds and operates the foundational data infrastructure powering LaunchDarkly's warehouse-native products — data export pipelines, warehouse health checks, and warehouse connection setup.

You'll bring a balance of people management and technical leadership as you drive the development of critical platform infrastructure and foster a high-performing, collaborative engineering culture. You'll partner closely with Product Management and cross-functional teams to deliver reliable, scalable systems that enterprise customers depend on.

Responsibilities:

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Lead and develop a team of backend engineers, providing coaching, feedback, and career growth opportunities

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Partner with PM and Design to scope, estimate, and sequence roadmap items, making scope tradeoffs in real time

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Own the team's delivery of critical infrastructure — data export pipelines, DAG orchestration, warehouse health checks, and connection setup

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Collaborate with adjacent teams (Warehouse Integrations, Experimentation, Data Platform) on shared infrastructure decisions and cross-team dependencies

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Communicate roadmaps, risks, and progress clearly to engineering leadership and cross-functional stakeholders

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Build team working norms that promote collaboration, reduce silos, and keep engineers engaged

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Drive operational excellence — improve reliability, observability, and incident response for production data infrastructure

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Participate in hiring to grow the team and raise the engineering bar

Qualifications:

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3+ years of experience in software engineering, with at least 2 years managing a team of backend or infrastructure engineers

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Experience building or operating data infrastructure at scale — pipelines, orchestration frameworks, or data platform systems

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Proven ability to partner with Product Management to translate business goals into engineering plans with reliable estimations

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Strong communication skills, especially in distributed team environments with cross-timezone collaboration

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Track record of coaching and developing engineers, including performance management, career growth planning, and technical mentorship

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Familiarity with observability practices (metrics, tracing, alerting, structured logging) and comfort with production incident response

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Experience with Go or comparable backend languages (Java, Python, Rust) is a plus

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Familiarity with data warehouse platforms (Snowflake, Redshift, BigQuery, Databricks) and data pipeline tooling (Airflow, Prequel) is a plus

About LaunchDarkly:

Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The…