Full-Time

Staff Frontend Engineer

Feature Management

Posted on 8/17/2026

LaunchDarkly

LaunchDarkly

501-1,000 employees

DevOps feature management and experimentation platform

Compensation Overview

$182.6k - $295.4k/yr

+ Restricted Stock Units (RSUs)

Remote in USA

Remote

Category
Software Engineering (1)
Required Skills
React.js
TypeScript
Go
REST APIs
Product Design

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Requirements
  • At least 10 years of software engineering experience with deep frontend expertise, including ownership of a surface or system across multiple teams not directly managed.
  • Strong proficiency with TypeScript and React, with the ability to work across the API boundary and understand Go on the backend.
  • Experience owning a genuinely adopted design system, including migration, enforcement, and handling non-adoption by teams.
  • Product and user-experience judgment alongside engineering depth, including tracing workflows end to end and distinguishing real user friction from personal preference.
  • A track record of influencing across teams without formal authority, including setting standards and building coalitions for adoption.
  • Judgment about leverage and the ability to prioritize the work that unlocks the most value.
  • Experience with data-dense enterprise product user interfaces involving large collections, filtering, permissions, environments, bulk operations, and performance at customer scale.
  • Production experience with LLM tool use, Model Context Protocol, or agent frameworks, plus a perspective on how agent-driven use changes product design.
  • Excellent written communication for influence through documents, prototypes, and code review.
Responsibilities
  • Own the consistency and quality of core flag surfaces across teams, set direction for shared interactions, review team implementations, and remain accountable for a coherent experience.
  • Set the agenda from customer evidence by understanding user personas and workflows, using support, sales, and usage signals, and turning them into a prioritized plan.
  • Own LaunchPad, the design system, including components, tokens, pattern layers, adoption, call-site migration, lint enforcement, and an adoption baseline.
  • Track upstream library and platform capabilities, translate them into product improvements, and repeatedly identify and close gaps between available interaction patterns and product usage.
  • Build shared interaction primitives for tables, filtering, sorting, comparison, and bulk change, then migrate the product onto them.
  • Prototype and implement interaction patterns for hybrid human-and-agent workflows, including explaining, reviewing, and trusting agent-made changes.
  • Serve as the first line of defense for frontend performance on high-traffic surfaces serving customers at scale.

LaunchDarkly provides a feature management platform for developers in the DevOps space. It helps teams control and automate features in their software so they can ship code safely, run experiments themselves, deliver personalized experiences, and revert feature behavior without changing code. The platform typically runs as a subscription service that integrates into development workflows to reduce risk, speed up releases, and maximize the impact of each software feature. Its differentiation comes from a developer-first approach that emphasizes in-production feature flags, self-serve experimentation, and targeting options to improve reliability and productivity. Overall, LaunchDarkly aims to help customers innovate faster, automate and de-risk software releases, lower delivery costs, and boost the business impact of features.

Company Size

501-1,000

Company Stage

Series D

Total Funding

$330.3M

Headquarters

Oakland, California

Founded

2014

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Simplify Jobs

Simplify's Take

What believers are saying

  • LaunchDarkly said January 2026 revenue momentum came from accelerated growth and AI tailwinds.
  • It serves over a quarter of Fortune 500 companies, including 37 Fortune 100 firms.
  • Houseware and Snowflake-native experimentation deepen analytics lock-in for existing customers.

What critics are saying

  • Flagsmith, Unleash, ConfigCat, and Statsig undercut LaunchDarkly on price in 2026.
  • The 2025 wage settlement with Catamorphic exposed sales-practice and labor-law scrutiny.
  • If AgentControl stalls, AI-native platforms like Split and PostHog will seize enterprise budgets.

What makes LaunchDarkly unique

  • LaunchDarkly's May 2026 AgentControl extends runtime control into AI agents.
  • Its 200-millisecond configuration changes beat redeploy-based controls in production.
  • Highlight observability and Houseware analytics create a tighter guarded-release platform.

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Benefits

Flexible work environment - Making an inclusive space for everyone means recognizing we all have our own individual working styles and needs.

Health and wellness - LaunchDarkly offers full coverage with health, dental, and vision plans for you and your dependents.

Salary and options - We're all in this together. LaunchDarkly offers competitive pay, equity, and the option to participate in a 401(k) program.

Learn and grow - We love to see our own continue to grow their skill sets—whether that's taking a class or attending a conference.

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

1%

2 year growth

-1%
SiliconANGLE Media
May 19th, 2026
LaunchDarkly launches runtime control layer for the agentic AI era.

LaunchDarkly launches runtime control layer for the agentic AI era. LaunchDarkly, a feature control platform that helps developers and software engineers launch and manage products, today announced the launch of AgentControl, a new solution providing real-time management of AI agents in production. As more agents get launched into production, companies are discovering that, unlike ordinary code, generative AI is probabilistic and doesn't always behave exactly as it did in testing. Although models can update and go through experiments, they might run into unexpected user interactions that change output quality without a single change to code. Once deployed, agents are given broad autonomous leeway, with less human oversight, primarily so they can get their job done. But that leaves them open to straying from their tasks as anomalies build up, and it can happen faster than teams can react. "The hardest problems in AI, like model drift, unpredictable outputs, and the inability to intervene fast enough, turn out to be exactly the problems our platform was built to solve," Chief Technology Officer Cameron Etezadi said. "We didn't have to reinvent the platform; we just had to extend it to meet the demands of an AI SDLC and agentic-driven workflows." LaunchDarkly said its platform is built to combine instantaneous runtime intervention with an operational layer that teams need to run AI agents reliably. It can assist with configuring agentic behavior across teams and frameworks, benchmark quality before changes reach live traffic, and provide progressive releases for guarded rollouts. All of this can be done with closely monitored trace-level visibility, allowing teams to iterate based on what production data actually shows. That means information technology teams, software engineers and AI engineers, alongside business users building AI agents using no-code tools, can slow-roll agent maintenance all without the need for redeployment. LaunchDarkly says the kind of control needed to manage agents in production requires a certain kind of speed. Configuration changes propagate in under 200 milliseconds, fast enough to adjust the behavior of an agent, route to a different model, or trigger a fallback - all within the turn of a conversation, and before a customer even notices something went wrong. "As more AI-powered products and agentic capabilities reach production, runtime control becomes essential infrastructure alongside the development workflows and controls teams already trust," said Brian McCarthy, president of global revenue and field operations at Anysphere Inc., maker of the Cursor AI code editor. LaunchDarkly has a long history of building powerful control and management interfaces for software engineering teams. Its largest audience is development and operations, or DevOps, where adjusting the feature configuration for applications is part of the company's journey. AgentControl represents that earned expertise applied to the new era of agentic AI, providing companies with a powerful way to keep agents in check. As development teams continue to deploy more agents that write, deploy and interact at machine speed, the company argued that they also need a system that can react with the same alacrity. Image: siliconangle/microsoft designer. A message from John Furrier, co-founder of SiliconANGLE: Support its mission to keep content open and free by engaging with theCUBE community. Join theCUBE's Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities. * 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more * 11.4k+ theCUBE alumni - Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network. About SiliconANGLE Media SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios - with flagship locations in Silicon Valley and the New York Stock Exchange - SiliconANGLE Media operates at the intersection of media, technology and AI. Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Its new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.

AI Transform
Oct 13th, 2025
LaunchDarkly revolutionises software management with AI-powered Vega

LaunchDarkly has unveiled Vega, an AI-powered diagnostic agent designed to pinpoint root causes and recommend solutions for software regressions at the moment of release.

CNBC
Jun 25th, 2025
Asana picks Dan Rogers, formerly of ServiceNow, to replace CEO Dustin Moskovitz

Asana's new CEO, Dan Rogers, comes from software startup LaunchDarkly, where he was CEO.

LaunchDarkly
May 14th, 2025
Galaxy 2025: Building boldly in the age of AI

LaunchDarkly Group unveiled new capabilities for AI Configs - your control plane for managing prompt and model configurations at runtime.

DigitPatrox
Apr 28th, 2025
LaunchDarkly to "double down" on observability with Highlight acquisition

Feature management specialist LaunchDarkly has announced the acquisition of open-source observability platform, Highlight.