> Markdown version of [/jobs/ext/2702833-developer-advocate-ai](https://www.wearedevelopers.com/jobs/ext/2702833-developer-advocate-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Developer Advocate, AI - **Company:** CATAMORPHIC CO. - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $152,000.0 - $210,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Multi-Agent Systems - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/senior-developer-advocate-ai-launchdarkly-8809945 ## About the Role * Experience in developer advocacy, community, solutions engineering, customer success, or another customer-facing technical role * Based in the San Francisco Bay Area, with the ability to attend events in person several times a week, including evenings * Technically credible: you can build and demo real things and hold a deep technical conversation without a script * Already active in, or genuinely drawn to, the AI developer scene * A strong written voice: your recaps make people who weren't in the room feel like they missed something Bonus if you have: * An existing network in the Bay Area developer community * Experience organizing meetups or developer events * Familiarity with feature management, experimentation, observability, or agent frameworks ## Description * Show up consistently: attend Bay Area developer events several times a week (meetups, demo nights, hackathons, conferences), building real relationships with AI and platform engineers over months, not transactions over days * Listen more than you talk: bring back structured signal on what practitioners are building, where they're stuck, and how they talk about agents, releases, and runtime control * Demonstrate, don't pitch: build and show small, credible demos on AgentControl and the LaunchDarkly platform, and hold your own when the technical questions get hard * Add to the conversation: write event recaps and practitioner-grade content that people in the community actually want to read, rather than broadcasting at them * Earn the right to convene: over time, organize gatherings around problems developers actually have, not around LaunchDarkly as a brand * Feed the team: route relationships, signal, and opportunities to the owners who can act on them, with enough context attached to act What Success Looks Like: * LaunchDarkly has a consistent, welcome presence in the rooms where the AI developer conversation is happening, and you decided which rooms those are * Organizers invite you to speak rather than fielding our pitches, and practitioners seek you out at events * Your recaps get shared by people who weren't in the room, and your content draws an audience without paid distribution * What you bring back changes decisions: a play gets adjusted, positioning gets sharpened, a docs gap gets prioritized because of what you surfaced * You've killed or redesigned at least one part of your own plan based on the evidence, and told us afterward * Over time, you're convening gatherings developers attend for the problems on the agenda, and increasingly because you're the host ## Related Videos - [Designing and Deploying Distributed Multimodal Multi-Agent Systems with Google's AI Stac](https://www.wearedevelopers.com/videos/1976-designing-and-deploying-distributed-multimodal-multi-agent-systems-with-google-s-ai-stac) - [Edit Your Future: Queerverse Radical AI](https://www.wearedevelopers.com/videos/909-edit-your-future-queerverse-radical-ai) - [Developer Relations in the World of Agents - Michelle Duke](https://www.wearedevelopers.com/videos/1898-developer-relations-in-the-world-of-agents-michelle-duke) - [AI is dead, long live AK](https://www.wearedevelopers.com/videos/1093-ai-is-dead-long-live-ak) - [Building Scalable Multi-Agentic AI Systems in Java: Orchestrating Agents with Event-Driven Approach](https://www.wearedevelopers.com/videos/1967-building-scalable-multi-agentic-ai-systems-in-java-orchestrating-agents-with-event-driven-approach) - [Evolving the developer experience in the age of AI](https://www.wearedevelopers.com/videos/100201-evolving-the-developer-experience-in-the-age-of-ai) ## Related Articles - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [How to Turn Community Events Into a Powerful AI GTM Engine: The Daytona Playbook](https://www.wearedevelopers.com/magazine/732-how-to-turn-community-events-into-a-powerful-ai-gtm-engine-the-daytona-playbook) - [Why Attend a Developer Event in 2026?](https://www.wearedevelopers.com/magazine/688-why-attend-a-developer-event-in-2026)