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Engineering Manager, Experimentation

LaunchDarkly Remote USA Remote USA Full Time Posted Aug 22, 2026

Job Overview

About the Job: We're looking for an Engineering Manager for our Experimentation team. In this role, you'll lead the team that builds and operates the core Experimentation product, from setup to results processing and display.

LaunchDarkly’s Experimentation team is building one of the company’s most strategic product areas: a platform that helps leading engineering organizations move beyond intuition and make product decisions with real statistical confidence.

Job Description

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.

Key Responsibilities

  • About the Job: We're looking for an Engineering Manager for our Experimentation team.
  • In this role, you'll lead the team that builds and operates the core Experimentation product, from setup to results processing and display.
  • LaunchDarkly’s Experimentation team is building one of the company’s most strategic product areas: a platform that helps leading engineering organizations move beyond intuition and make product decisions with real statistical confidence.
  • Sitting at the intersection of large-scale systems, data science, and user experience, the team is creating a best-in-class experimentation product that lets customers set up, manage, and analyze experiments with ease while still earning the trust of even the most rigorous data teams.
  • From warehouse-native analysis to experimentation workflows built on top of LaunchDarkly’s massive feature management scale, this team is tackling ambitious technical problems with visible customer impact and a clear opportunity to define the future of modern software experimentation As the Engineering Manager, you'll bring a balance of people management and technical leadership as you drive the development of the multiple services that power this product and foster a high-performing, collaborative engineering culture.
  • Responsibilities: Lead and develop a team of engineers, providing coaching, feedback, and career growth opportunities Partner with PM and Design to scope, estimate, and sequence roadmap items, making scope tradeoffs in real time.
  • Own the team's delivery of features, ensuring completion within timelines and quality requirements.
  • Collaborate with adjacent teams (Warehouse Integrations, Metrics, and Guardian) on shared infrastructure decisions and cross-team dependencies Communicate roadmaps, risks, and progress clearly to engineering leadership and cross-functional stakeholders Build team working norms that promote collaboration, reduce silos, and keep engineers engaged Drive operational excellence - improve reliability, observability, and incident response for production data infrastructure Participate in hiring to grow the team and raise the engineering bar Qualifications: 3+ years of experience in software engineering, with at least 2 years managing a team of backend or infrastructure engineers Proven ability to partner with Product Management to translate business goals into engineering plans with reliable estimations Strong communication skills, especially in distributed team environments with cross-timezone collaboration Track record of coaching and developing engineers, including performance management, career growth planning, and technical mentorship Familiarity with observability practices (metrics, tracing, alerting, structured logging) and comfort with production incident response Experience with Go or comparable backend languages (Java, Python, Rust) is a plus Familiarity with data warehouse platforms (Snowflake, Redshift, BigQuery, Databricks) and data pipeline tooling (Airflow, Prequel) is a plus Pay: Target pay ranges based on Geographic Zones* for Level 2: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,800 - $263,670** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,600 - $237,270** Zone 3: All other US locations - $163,000 - $224,070** All Zones Inclusive of a 10% Bonus Target 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.

Required Skills and Qualifications

  • Sitting at the intersection of large-scale systems, data science, and user experience, the team is creating a best-in-class experimentation product that lets customers set up, manage, and analyze experiments with ease while still earning the trust of even the most rigorous data teams.
  • Collaborate with adjacent teams (Warehouse Integrations, Metrics, and Guardian) on shared infrastructure decisions and cross-team dependencies Communicate roadmaps, risks, and progress clearly to engineering leadership and cross-functional stakeholders Build team working norms that promote collaboration, reduce silos, and keep engineers engaged Drive operational excellence - improve reliability, observability, and incident response for production data infrastructure Participate in hiring to grow the team and raise the engineering bar Qualifications: 3+ years of experience in software engineering, with at least 2 years managing a team of backend or infrastructure engineers Proven ability to partner with Product Management to translate business goals into engineering plans with reliable estimations Strong communication skills, especially in distributed team environments with cross-timezone collaboration Track record of coaching and developing engineers, including performance management, career growth planning, and technical mentorship Familiarity with observability practices (metrics, tracing, alerting, structured logging) and comfort with production incident response Experience with Go or comparable backend languages (Java, Python, Rust) is a plus Familiarity with data warehouse platforms (Snowflake, Redshift, BigQuery, Databricks) and data pipeline tooling (Airflow, Prequel) is a plus Pay: Target pay ranges based on Geographic Zones* for Level 2: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,800 - $263,670** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,600 - $237,270** Zone 3: All other US locations - $163,000 - $224,070** All Zones Inclusive of a 10% Bonus Target 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.
  • Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software.
  • Developers can target product experiences to any customer segment and maximize the business impact of every feature.
  • 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.

Benefits and Perks

  • Collaborate with adjacent teams (Warehouse Integrations, Metrics, and Guardian) on shared infrastructure decisions and cross-team dependencies Communicate roadmaps, risks, and progress clearly to engineering leadership and cross-functional stakeholders Build team working norms that promote collaboration, reduce silos, and keep engineers engaged Drive operational excellence - improve reliability, observability, and incident response for production data infrastructure Participate in hiring to grow the team and raise the engineering bar Qualifications: 3+ years of experience in software engineering, with at least 2 years managing a team of backend or infrastructure engineers Proven ability to partner with Product Management to translate business goals into engineering plans with reliable estimations Strong communication skills, especially in distributed team environments with cross-timezone collaboration Track record of coaching and developing engineers, including performance management, career growth planning, and technical mentorship Familiarity with observability practices (metrics, tracing, alerting, structured logging) and comfort with production incident response Experience with Go or comparable backend languages (Java, Python, Rust) is a plus Familiarity with data warehouse platforms (Snowflake, Redshift, BigQuery, Databricks) and data pipeline tooling (Airflow, Prequel) is a plus Pay: Target pay ranges based on Geographic Zones* for Level 2: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,800 - $263,670** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,600 - $237,270** Zone 3: All other US locations - $163,000 - $224,070** All Zones Inclusive of a 10% Bonus Target 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.
  • *Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.

USA Jobs Today role summary

Role Summary

Engineering Manager, Experimentation at LaunchDarkly is a remote United States position and is listed as Full Time.

About the Job: We're looking for an Engineering Manager for our Experimentation team.

Review the employer's original description and official application page before applying; USA Jobs Today organizes source-supported details for readability without changing stated requirements.

Application Checklist

  • Review the stated qualifications, including: Sitting at the intersection of large-scale systems, data science, and user experience, the team is creating a best-in-class experimentation product that lets customers set up, manage, and analyze experiments with ease while still earning the trust of even the most rigorous data teams. Exact compensation may vary based on skills, experience, and location.
  • Confirm that the official application page still lists the role as open.
  • Verify the work location and any United States eligibility or work-authorization requirements.
  • Tailor your resume to the responsibilities and qualifications stated by LaunchDarkly.
  • Apply only through the official link shown on this page and never pay USA Jobs Today to submit an application.

Original job information is provided by the hiring organization or listed source. USA Jobs Today organizes source-supported details for readability without inventing salary, benefits, qualifications, sponsorship, or remote eligibility.

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This role is listed as Remote USA with location information shown as Remote USA. The employment type is Full Time.

About the Company

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