13 часов назад
Developer Relations Education Engineer (AI)
100 000 - 175 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Developer Relations Education Engineer (AI): Creating technical education for AI observability and evaluation through blog posts, videos, webinars, courses, conference talks, and hands-on workshops with an accent on LLM-based application development and AI-assisted content production. Focus on building reusable production pipelines, teaching complex technical concepts, and adapting source material across multiple channels.
Location: Remote, but candidates must be based in the San Francisco Bay area. Regular travel for conferences and occasional evening or weekend events is required; there is no in-office requirement.
Salary: $100,000–$175,000 annual salary, plus equity and benefits.
Company
Arize AI provides an AI and agent engineering observability and evaluation platform, including Arize AX and Arize Phoenix.
What you will do
- Write technical blog posts and tutorials for Arize and external publications.
- Produce educational videos, explainers, walkthroughs, and internal enablement content.
- Run webinars end to end, from topic selection and demos through follow-up content.
- Build and deliver courses, conference talks, and hands-on workshops with demo applications and exercises.
- Adapt research and educational material across blogs, video, webinars, courses, social channels, and documentation.
- Build AI-assisted production pipelines and turn community feedback into product insights.
Requirements
- 3+ years of experience in developer relations, developer education, technical content, or an engineering role producing public material.
- A portfolio containing recorded talks, videos, courses, blog posts, or workshops.
- Ability to teach technical concepts live, present on stage, and work comfortably on camera.
- Current engineering skills sufficient to build the demo applications being taught.
- Working knowledge of LLM-based application development, including agents, RAG, or orchestration frameworks.
- Experience using AI tools in a production process or a clear interest in building AI-assisted workflows.
Nice to have
- Knowledge of AI evaluation and observability products or technologies.
- Experience creating courses with platforms such as Coursera, DeepLearning.AI, LinkedIn Learning, Maven, or O'Reilly.
- Video production, editing, or technical YouTube channel experience.
- Experience getting talks accepted at major industry conferences.
- Open-source project experience and active participation in technical communities.
Culture & Benefits
- Remote-first work model with offices available in New York City and the San Francisco Bay Area.
- WFH monthly stipend for co-working spaces outside those office locations.
- Medical, dental, and vision coverage.
- 401(k) plan, unlimited paid time off, and generous parental leave.
- Mental and wellness support, industry discussions, and responsible AI initiatives.
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