Engineering Manager, LaunchDarkly
Data Platform
$163-263.7k
OTE
Salary dependent on location. Plus RSUs
Feature management for software teams
Be an early applicant
Feature management for software teams
501-1000 employees
Be an early applicant
$163-263.7k
OTE
Salary dependent on location. Plus RSUs
501-1000 employees
Company mission
To empower all teams to deliver and control their software.
Role
Who you are
- 8+ years of experience in software engineering, with at least 2 years managing a team of backend or infrastructure engineers
- Experience owning high-throughput, reliability-critical production systems such as event ingestion, streaming or batch pipelines, or large analytical data stores
- Strong distributed-systems fundamentals and the judgment to guide technical tradeoffs with senior engineers
- Proven ability to partner with Product Management to translate business goals into engineering plans with reliable estimates
- Track record of coaching and developing engineers, including performance management, career growth planning, and technical mentorship
- Strong communication skills in a distributed, cross-time-zone environment
- Familiarity with observability practices (metrics, tracing, alerting, structured logging) and comfort leading production incident response
- Experience with Go or Python, and with technologies such as Kafka or Kinesis, ClickHouse, Airflow, Athena or Iceberg, Elasticsearch, and Terraform is a plus
What the job involves
- We are seeking an Engineering Manager to lead LaunchDarkly’s Data Platform team and help shape the high-throughput data backbone behind our most important products
- As Engineering Manager, you’ll lead a technically deep team building and operating the systems that ingest, process, and serve the real-time and batch data powering Experimentation, Metrics, Observability, Release Guardian, AgentControl, and Data Export
- Working primarily in Go and Python, your team tackles ambitious distributed-systems challenges with technologies including Kinesis, Airflow, Athena, and Iceberg on S3, ClickHouse, Elasticsearch, Terraform, AWS, and Datadog
- From evolving real-time analytics and context data to strengthening streaming and batch pipelines, you’ll guide the platform that turns vast volumes of events into reliable, customer-facing product experiences while partnering across Core Engineering and product teams to make data faster, more resilient, and more useful for every LaunchDarkly customer
- Lead and develop a team of backend engineers, providing coaching, feedback, and career growth opportunities
- Own the delivery, correctness, and resilience of Data Platform's production systems, including Tier 0 ingestion endpoints and the pipelines and data stores behind them
- Partner with Product Management and consuming engineering teams to scope, estimate, and sequence roadmap work, making tradeoffs in real time
- Act as the primary communicator and point of contact for Data Platform with engineering leadership, partner teams, and customers
- Drive operational excellence: reliability, observability, cost, incident response, and on-call health
- Build team working norms that promote collaboration, reduce silos and bus factor, and keep engineers engaged
- Participate in hiring to grow the team and raise the engineering bar
Our take
Feature flags are a powerful software development tool, allowing teams to modify system behavior without changing code, therefore minimizing risk. If a business has a new feature they want to test, they can then roll it out to a small set of users before letting it go live. These companies can, for example, get quick feedback on the new feature and fix any bugs, or roll back any changes.
LaunchDarkly allows companies to run tests like this by activating the new code for only a small set of users prior to launch. Typically running these tests requires lots of developer time - a daunting and expensive prospect for most rapidly growing businesses - and can risk disruption to the user experience if testing takes place on the live product.
Demonstrating its value to businesses, the platform is used by the likes of IBM, Intuit and Atlassian. Recently it has seemed to focus on further scaling its growth as it develops towards being a leading business in the feature management space.
Freddie
Company Specialist at Welcome to the Jungle
Insights
0% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Aug 2021
$200m
SERIES D
Jan 2020
$54m
LATE VC
Total funding: $330.3m
Company benefits
- Full Vision
- Full Dental
- Full Medical
- Flexible Schedule
- Healthy Lunches & Snacks
- Conference & Meetup Access
- Education Stipend
- Personalized Work Station
- Close to Public Transportation
- Bike Parking
- Team Activities
- Unlimited paid time off policy
- Work from home opportunities
- Health insurance
Company HQ
Lakeside, Oakland, CA
Leadership
Edith Harbaugh
(Co-founder, Executive Chair & CEO)Worked as a Product Manager at Vignette, Monster Worldwide, and PlantSense. Previously Product Director at TripIt.
John Kodumal
(Co-founder & CTO)Prior to co-founding LaunchDarkly was Software Development Manager at Atlassian and Bytecode Anaylsis Architect for Coverity.
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