Engineering Manager, Data Products

LaunchDarkly; United States; Remote; USD 158,000 - 240,000; Full time

Job summary

LaunchDarkly is seeking an experienced Engineering Manager to lead their Data Products Platform team. This role involves guiding talented engineers in designing data infrastructure, fostering team growth, and ensuring high-quality data systems that support critical business decisions. The successful candidate will bring extensive engineering management experience and a deep understanding of data processing technologies.

Benefits

Restricted Stock Units (RSUs)

Health, vision, and dental insurance

Mental health benefits

Qualifications

• 3+ years of engineering management experience.
• 7+ years total software engineering experience.
• Strong background in building and scaling data pipelines.

Responsibilities

• Manage, mentor, and support a team of engineers.
• Drive execution on roadmap commitments.
• Set technical direction for data pipelines.

Skills

Communication

Leadership

Team Building

Data Processing

Tools

Kinesis

Spark

Airflow

Lambda

Flink

Athena

Job description

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

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 LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.

The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:

• Improving the velocity and stability of software releases, without the fear of end customer outages
• Delivering targeted experiences by easily personalizing features to customer cohorts
• Maximizing the business impact of every feature through the ability to experiment and optimize
• Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
• Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability

At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at [e-mail] .

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