Developer Advocate (AI Infrastructure)

Location: Hybrid, based in San Mateo, California or London; regular travel to conferences, hackathons, meetups, partner events, and San Mateo HQ onsites. Expect approximately 20–25% travel in a typical quarter. London-based employees work across time zones with a primarily US-based team and travel periodically to San Mateo.

Salary: $200,000–$230,000 plus equity.

Company

Fireworks AI provides infrastructure for building, training, and serving specialized AI models, including open models across text, image, embedding, audio, and multimodal workloads.

What you will do

• Build and ship runnable cookbooks, quickstarts, reference applications, and end-to-end tutorials that take developers from their first inference call to production-shaped applications.
• Own rapid launch responses for major models and techniques through working demos, benchmarks, usage guides, model access, evaluation harnesses, and repeatable publishing processes.
• Create and maintain developer content across documentation, blogs, examples, cookbooks, Discord, newsletters, GitHub, X, Reddit, YouTube, Hacker News, and relevant open-source projects.
• Speak at conferences, lead workshops, mentor hackathons, run developer events, and create reusable presentation and workshop materials.
• Bring evidence-based developer feedback, friction, and feature gaps to product and engineering, then communicate shipped improvements publicly.
• Measure content and event impact through adoption, activation, time to first successful build, signups, and developer conversion to production use.

Requirements

• 5+ years of combined engineering and developer-facing experience, including genuine experience in both areas. Relevant developer-facing experience may include developer relations, developer education, technical writing, or solutions engineering.
• Strong Python skills and comfort with TypeScript or JavaScript; experience building and deploying applications and reviewing code and diffs.
• Production experience with LLM APIs, at least one agent framework, and personally fine-tuning, evaluating, and deploying a model.
• Understanding of inference latency, throughput, and cost drivers.
• A public technical track record through writing, talks, videos, open-source work, or an earned developer following.
• Demonstrated speaking experience at conferences, meetups, or workshops, including the ability to present recently shipped technical work.
• Ability to rapidly turn new research or papers into working implementations and honest technical assessments, with a system for staying current.
• Ability to select topics, scope projects, and own work end to end without relying on a predefined content calendar.

Nice to have

• Open-source contributions or maintainership in the AI/ML ecosystem, including inference engines, model libraries, agent frameworks, or evaluation tooling.
• Depth in inference optimization, serving architecture, post-training, or evaluation methodology.
• Experience building a durable content operation, launch process, events playbook, or community program.
• Comfort creating video.
• Existing relationships with AI research or open-model communities.
• Daily use of frontier coding agents and informed opinions about their strengths and limitations.
• Experience joining an early DevRel team and helping establish its operating model.

Culture & Benefits

• Hybrid work based in San Mateo or London with regular travel for major developer events and launches.
• Work on AI infrastructure, low-latency inference, scalable model serving, and emerging model technologies.
• High ownership and direct impact on product, developer adoption, and technical communication standards.
• Collaboration with engineers and AI researchers in a fast-growing environment.
• Equity included in the compensation package.