# Developer Advocate

**Company:** [Fireworks AI](https://hotfix.jobs/companies/fireworks-ai)
**Location:** San Mateo, CA, London, United Kingdom
**Role:** Developer Relations
**Salary:** $200k – $230k/yr
**Experience:** 5+ years
**Skills:** Python, TypeScript, JavaScript, LLM APIs, Agent Frameworks, Fine-Tuning, Model Evaluation, Model Deployment, Inference Optimization, Serving Architecture, Open Source, Technical Writing, GitHub, Discord, Youtube
**Posted:** 2026-08-27

> Developer Advocate who builds and deploys AI applications, creates runnable technical content, responds to model launches, and engages developers through talks and open-source work. Requires 5+ years spanning engineering and developer-facing experience, strong Python, AI infrastructure expertise, and public technical communication skills.

## Job Description

## Responsibilities
- Build runnable cookbooks, quickstarts, reference applications, and end-to-end tutorials for AI model inference and production use.
- Create rapid launch content for new models and techniques, including working demos, benchmarks, and practical usage guides.
- Establish repeatable workflows for model access, evaluation, and publishing.
- Publish and engage across documentation, blogs, examples, cookbooks, Discord, newsletters, GitHub, X, Reddit, YouTube, Hacker News, and relevant open-source projects.
- Answer developer questions publicly, contribute code, review pull requests, and turn recurring issues into durable content.
- Speak at conferences, lead workshops, mentor hackathons, and host developer events.
- Surface developer feedback and product friction to product and engineering teams using concrete evidence, then communicate fixes publicly.
- Measure adoption, activation, time to first successful build, content-driven signups, and event-driven developer outcomes.

## Requirements
- 5+ years of combined engineering and developer-facing experience, with meaningful experience in both areas.
- Strong Python and working knowledge of TypeScript/JavaScript.
- Experience building and deploying applications and reviewing technical samples.
- Production experience with LLM APIs and at least one agent framework.
- Hands-on experience fine-tuning, evaluating, and deploying models.
- Understanding of inference latency, throughput, and cost drivers.
- Public technical communication track record through writing, talks, videos, open-source work, or an earned audience.
- Conference, meetup, or workshop speaking experience.
- Ability to rapidly learn new research and technologies and produce working implementations.
- Strong ownership, project-scoping, and execution skills.

## Nice-to-haves
- Open-source contributions or maintainership in AI/ML, including inference engines, model libraries, agent frameworks, or evaluation tooling.
- Depth in inference optimization, serving architecture, post-training, or evaluation methodology.
- Experience establishing content operations, launch processes, event playbooks, or community programs.
- Video production experience.
- Relationships with AI research or open-model communities.
- Daily use of frontier coding agents.

## Compensation
- Annual salary range: $200,000–$230,000.

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