AI Developer Advocate Jobs
Code + Community.

AI Developer Advocates are the bridge between AI companies and their developer community. Your job is to help developers succeed with AI tools and APIs. This includes creating tutorials and documentation, speaking at conferences, building demo apps, engaging on social media, gathering product feedback, and generally being the technical face of the company to the outside world. It's equal parts engineering, teaching, and community building.

You don't need a PhD or ML research background. What you need is the ability to understand AI concepts deeply enough to explain them simply, and enough coding skill to build real implementations. If you can build applications with LLM APIs, understand concepts like RAG, embeddings, and prompt engineering, and can learn new technical material quickly - you're technical enough. The communication and community skills are often harder to find.

Content creation is learnable. Most successful Developer Advocates weren't natural content creators - they developed the skill through practice. Start small: write about what you're learning, document solutions to problems you've solved, share code snippets with explanations. You don't need to be a polished YouTuber on day one. What matters more is authenticity and genuine helpfulness.

Very. Most AI DevRel roles offer remote or hybrid options, since the work involves engaging with a distributed global developer community. That said, expect travel for conferences, company offsites, and community events - typically 20-40% depending on the role. Many advocates appreciate this balance: focused work from home, with regular opportunities to connect in person.

Common paths include: Senior DevRel/Staff Advocate (deeper expertise, larger impact), DevRel Lead/Manager (building and leading DevRel teams), Head of Developer Experience (strategic role combining DevRel, docs, and DX), Product roles (your community insight makes you valuable in product), and Founding/Startup roles (many advocates start companies serving developers). The community and reputation you build open many doors.

No. While a following helps, companies care more about the quality of your communication and your ability to grow an audience than your current numbers. A well-written blog post, a useful GitHub repo, or a clear talk at a local meetup can be more impressive than 10K Twitter followers who don't engage. Focus on demonstrating the skills - the audience will follow.

Not necessarily. While some programming experience is helpful, many of my clients have successfully transitioned from web development, data science, or other technical backgrounds. We'll assess your current skills during our strategy call and create a personalized plan that meets you where you are.

Most clients invest 10-15 hours per week, but this can be flexible based on your schedule. We'll have weekly 1:1 calls plus time for you to work on projects and learning. The key is consistency. Regular, focused effort beats occasional marathons.

You become a member of the AI Native Engineer community, and you stay and keep going. Career transitions take different amounts of time for everyone, and I'm not going to abandon you if things take longer. You get ongoing support through good times and bad.

Online courses give you content. 1:1 coaching gives you a personalized roadmap, direct feedback on your work, career strategy, interview prep, and accountability. You get answers to your specific questions and guidance tailored to your unique situation instead of generic advice meant for everyone.

Investment details are discussed during the 30-minute strategy call, where we'll assess your goals and create a custom plan. The program is designed to pay for itself quickly through your increased salary. Most AI engineers see a 20-50% pay increase.

Absolutely. Most of my clients work full-time and make steady progress. We'll schedule calls at times that work for you and create a realistic plan that fits your schedule. Consistency matters more than intensity.