Developer Advocate

Fireworks•San Francisco, CA
•Onsite

About The Position

Fireworks is hiring a Developer Advocate at the Senior or Staff level to help developers choose and build with its platform for building, fine-tuning, and serving open AI models. The role combines hands-on engineering with public technical communication: the advocate builds and deploys working software, creates credible technical material, and represents the developer perspective inside the company. The role involves creating runnable technical resources, responding quickly to significant model and technique launches, engaging developers across Fireworks-owned and external channels, speaking and teaching at community events, and communicating developer needs to product and engineering. Success is measured by adoption, activation, and time to a first successful build rather than impressions or attendance. The position is based in San Mateo, California, or London, with regular travel—typically 20% to 25% in a quarter—for conferences, hackathons, meetups, partner events, and company planning.

Requirements

  • At least 5 years of combined engineering and developer-facing experience, with meaningful experience in both areas.
  • Strong Python skills and comfort with TypeScript or JavaScript.
  • Experience building and deploying applications and reviewing other people's code and technical examples.
  • Production experience with LLM APIs.
  • Experience building with at least one agent framework.
  • Personal hands-on experience fine-tuning, evaluating, and deploying a model.
  • Understanding of factors affecting inference latency, throughput, and cost.
  • A public track record of technical writing, speaking, videos, open-source work, or other technical communication that demonstrates the ability to explain complex topics to engineers.
  • Experience presenting at conferences, meetups, or workshops, and comfort speaking on short notice about recently shipped work.
  • Ability to learn quickly, implement and assess new research or techniques, and maintain a systematic approach to staying current.
  • Ability to independently choose topics and own projects from scope through completion.

Nice To Haves

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

Responsibilities

  • Build and publish runnable cookbooks, quickstarts, reference applications, and end-to-end tutorials that help developers progress from an initial inference call to production-oriented use.
  • Respond to significant model and technique launches with working demos, honest benchmarks, and practical usage guides; help establish internal processes for rapid, repeatable launch content.
  • Engage developers through Fireworks channels, including documentation, blog, examples, cookbooks, Discord, and the developer newsletter.
  • Participate in external developer communities and platforms such as GitHub, X, Reddit, YouTube, and Hacker News; contribute code and review pull requests in relevant open-source projects.
  • Answer developer questions publicly and turn recurring questions into durable technical resources.
  • Speak at conferences, lead hands-on workshops, mentor at hackathons, and participate in developer dinners; help select events and develop reusable presentation and workshop materials.
  • Represent developer needs within Fireworks by bringing evidence of friction, feature gaps, and unmet needs to product and engineering, then close the loop publicly when fixes ship.
  • Measure content and event impact using adoption, activation, and time to first successful build, and identify where developers drop off between initial use and production.
  • Establish standards for technical content, launch response, and developer-community engagement as an early member of the advocacy team.

Benefits

  • Opportunity to work on challenging AI infrastructure problems, including low-latency inference and scalable model serving.
  • Opportunity to work with emerging technology used by businesses and developers globally.
  • Ownership and the opportunity to directly shape the company's work in a fast-growing team.
  • Collaboration with engineers and AI researchers.
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