Engineering Manager, Data Products

Engineering Manager, Data Products Platform

Position Overview

Software powers the world, and LaunchDarkly empowers all teams to deliver and control the best software. We are seeking an experienced and empathetic Engineering Manager to lead our Data Products Platform team, which is responsible for building and maintaining the data infrastructure supporting our Experimentation and Guarded Release product lines.

In this role, you'll lead a team of talented engineers who design and operate batch and real-time data pipelines that process trillions of events per day. You’ll work cross-functionally with product managers, data scientists, and infrastructure teams to deliver reliable, scalable data systems that power critical features and decision-making.

This is a high-impact leadership position where you'll balance technical vision, team health, and delivery excellence to ensure LaunchDarkly continues to lead in progressive delivery and experimentation at scale.

Responsibilities

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

Qualifications

• Experience: 3+ years of engineering management experience leading backend or data infrastructure teams, and 7+ years total software engineering experience.
• Technical Expertise: 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.
• Domain Knowledge: Experience with event-driven systems, analytics platforms, or experimentation frameworks is a strong plus.
• Data Systems: Proficiency with modern data warehouses and databases (e.g., Clickhouse, Postgres, Snowflake, ElasticSearch, Timestream).
• People Leadership: Demonstrated ability to build inclusive, high-performing teams and support career development for engineers.
• Communication: Excellent written and verbal communication skills. Ability to clearly articulate technical ideas and trade-offs to both technical and non-technical audiences.
• Operational Mindset: 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.
• Bias for Action: A pragmatic and iterative approach to engineering that emphasizes incremental progress and continuous delivery.

Pay

Target pay ranges based on Geographic Zones* for Level M2:

• Zone 1: San Francisco/Bay Area or New York City Metropolitan Area: $187,000 - $240,000**
• Zone 2: Boston, DC, Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Seattle: $168,200 - $220,000**
• Zone 3: All other US locations: $158,900 - $210,000**

LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.

*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.