Full-Time

Staff Enterprise Developer Advocate

Posted on 8/18/2026

LaunchDarkly

LaunchDarkly

501-1,000 employees

DevOps feature management and experimentation platform

Compensation Overview

$145.5k - $235.4k/yr

+ Restricted Stock Units

Remote in USA

Remote

Requires approximately 25% travel.

Category
Developer Relations
Required Skills
Observability
DevOps
Data Analysis

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Requirements
  • Have a background spanning at least two of developer advocacy, solutions engineering, developer education, and technical marketing.
  • Be able to teach technical sessions to approximately fifty engineers and handle difficult questions from skeptical principal architects.
  • Build, demonstrate, and teach technical solutions with hands-on credibility among senior engineers.
  • Run a repeatable program, prioritize incoming demand, and maintain commitments to field teams.
  • Have at least 12 years of related experience.
  • Be willing to travel approximately 25% of the time.
Responsibilities
  • Design the Enterprise Developer Advocacy program from pilot to repeatable practice, including session formats, account selection criteria, readouts, and measurement.
  • Deliver education-first technical sessions inside target accounts, tailored to each account's technology stack and use cases, covering agents and AgentControl, safe rollouts, experimentation, and runtime control.
  • Partner with account executives, solutions engineers, and customer success teams to identify accounts, find and develop internal champions, and hand off surfaced opportunities to the appropriate teams.
  • Maintain the non-promotional, education-first nature of the sessions.
  • Instrument the pilot, produce session readouts, debrief with representatives, and recommend whether to scale, adjust, or stop based on the data.
  • Define how the motion scales, including the playbook future advocates would run.
Desired Qualifications
  • Experience with feature management, experimentation, observability, or agent orchestration tooling.
  • Experience building a customer-facing technical program, such as workshops, DevDays, or office hours, from scratch.
  • A deep enterprise software background and understanding of how large engineering organizations make platform decisions.

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.

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