Full Stack Engineer, LaunchDarkly
Observability
$116-187.7k
Feature management for software teams
Open for applications
Feature management for software teams
501-1000 employees
Open for applications
$116-187.7k
501-1000 employees
Company mission
To empower all teams to deliver and control their software.
Role
Who you are
- 3+ years of professional software engineering experience, with a track record of shipping production-quality full-stack features
- Proficiency across the full stack—comfortable in TypeScript/React on the frontend and Go (or similar) on the backend
- Experience building or integrating LLM-powered features, agents, or AI-driven workflows
- Strong product instincts: you care about user experience and can translate ambiguous requirements into clean, well-scoped solutions
- Collaborative and communicative—you work well across teams and functions, and you're comfortable navigating ambiguity
- Familiarity with LaunchDarkly, feature flagging, or observability tooling is a plus
- Experience with usage-based product surfaces, experimentation platforms, or developer tooling is a plus
What the job involves
- LaunchDarkly is looking for a Full Stack Engineer to help build and expand Vega, our AI-powered platform that surfaces insights and automates actions across LaunchDarkly products
- This is a greenfield opportunity: you'll help evolve Vega from an Observability-focused assistant into a cross-product platform that serves Feature Management customers and powers a new, usage-based SKU
- You'll build the surfaces, APIs, and agent infrastructure that make Vega and the whole Observability platform broadly valuable—enabling capabilities like AI-driven dashboard creation, flag cleanup automation, and sandboxed agent execution
- You'll work across the full stack (React/TypeScript UI, Go services, data pipelines) and collaborate closely with product, design, and other engineering teams to shape how AI capabilities land across LaunchDarkly
- Additionally, you’ll work on other Enterprise-grade capabilities for the Observability platform to help drive customer activation and success
- Expand Vega beyond Observability into Feature Management, including the flag cleanup agent as a cross-product capability
- Support enterprise capabilities for the Observability platforms: building data import and export pipelines to connect O11y to other platforms and enabling new customer workflows
- Build a platform that other teams can contribute to—defining contribution patterns, shared infrastructure, and safe, sandboxed AI agent execution
- Enable dashboard creation via natural language prompts, using existing Vega infrastructure as a foundation
- Consolidate Vega usage into fewer, higher-value surfaces, enabling faster iteration and justifying a usage-based monetization model
- Run experiments to expose Vega to mainstream FM customers across core workflows, measuring adoption and informing monetization
- Partner with product and design to ensure Vega capabilities are intuitive, well-integrated, and impactful for end users
- Contribute to architecture decisions, code reviews, and engineering standards across the Observability and Vega teams
- Design, build, and ship full-stack features across the Vega platform (UI, APIs, backend services, and agent infrastructure)
- Own features end-to-end: from prototype and API design through production rollout and iteration
- Collaborate cross-functionally with product managers, designers, and engineers across Observability and Feature Management
- Participate in architecture discussions and technical design reviews, contributing to sound trade-off decisions
- Write well-tested, maintainable code and promote best practices for quality, observability, and reliability
- Mentor teammates and contribute to a collaborative, high-trust engineering culture
- Participate in on-call rotations and take ownership of production reliability for your features
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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