Engineering Manager, Data Products

Summary

Join LaunchDarkly's Data Products Platform team as an Engineering Manager to lead a team in building and maintaining data infrastructure for Experimentation and Guarded Release product lines. You will manage a team of engineers designing and operating batch and real-time data pipelines processing trillions of events daily. Collaborate with product managers, data scientists, and infrastructure teams to deliver reliable, scalable data systems. This high-impact role requires balancing technical vision, team health, and delivery excellence. Lead the team in setting technical direction, guiding architectural decisions, and championing engineering best practices. You will also be responsible for hiring and growing a diverse and effective team.

Requirements

• 3+ years of engineering management experience leading backend or data infrastructure teams, and 7+ years total software engineering experience
• Strong background in building and scaling data pipelines, especially with stream and batch processing technologies
• Familiarity with tools such as Kinesis, Spark, Airflow, Lambda, Flink, and Athena is expected
• Proficiency with modern data warehouses and databases (e.g., Clickhouse, Postgres, Snowflake, ElasticSearch, Timestream)
• Demonstrated ability to build inclusive, high-performing teams and support career development for engineers
• Excellent written and verbal communication skills
• Ability to clearly articulate technical ideas and trade-offs to both technical and non-technical audiences
• Familiarity with Infrastructure-as-Code tools (e.g., Terraform) and observability platforms (e.g., Datadog) to support a "you build it, you run it" engineering culture
• A pragmatic and iterative approach to engineering that emphasizes incremental progress and continuous delivery

Responsibilities

• Manage, mentor, and support a team of engineers
• Foster a culture of learning, ownership, psychological safety, and continuous improvement
• Drive execution on roadmap commitments and prioritize technical and product initiatives in close collaboration with Product Management and Technical Leads
• Help set technical direction and guide architectural decisions for scalable, reliable, and performant data pipelines and systems
• Partner with engineers, product managers, data scientists, designers, and business stakeholders to align technical work with product goals and customer needs
• Champion engineering best practices in reliability, performance, and observability
• Ensure the team upholds a high standard for code quality, testing, and deployment
• Collaborate with Recruiting and Engineering leadership to attract and retain top talent, and build a diverse, inclusive, and effective team

Preferred Qualifications

Experience with event-driven systems, analytics platforms, or experimentation frameworks is a strong plus

Benefits

Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary