Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Developer Relations (AI): Helping developers discover, adopt, and responsibly use Claude Code, Claude Tag, and future developer products with an accent on technical content, developer ecosystem growth, and cross-functional product feedback. Focus on building production-quality demos, measuring developer success, translating AI capabilities into accessible resources, and promoting safe and secure AI development.
Location: San Francisco, CA or New York City, NY; hybrid policy requires staff to work from an Anthropic office at least 25% of the time
Annual salary: $290,000–$435,000 USD
Company
Anthropic is a public benefit corporation building reliable, interpretable, and steerable AI systems.
What you will do
- Shape developer discovery, engagement, and adoption of Claude Code, Claude Tag, and future developer products.
- Build measurement frameworks for developer success and prioritize community and content initiatives using data and feedback.
- Create technical content including sample applications, tutorials, documentation, integration guides, and best practices.
- Lead developer events, workshops, and community activities for individual developers, partners, customers, and enterprise engineering teams.
- Partner with Product, Engineering, Research, Sales, Marketing, and Communications to turn developer feedback into product and content initiatives.
- Promote responsible, safe, and secure use of AI among developers.
Requirements
- 5+ years of experience in developer relations, developer experience, or technical product or engineering roles.
- Track record of shipping content or tools that measurably grew a developer ecosystem.
- Strong understanding of AI/ML and API concepts, with the ability to explain complex topics to technical audiences.
- Hands-on ability to write production-quality code demos and review developer samples.
- Collaborative communication skills and the ability to influence across teams without direct authority.
- Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.
Nice to have
- Experience with large language models or generative AI.
- Background in AI safety, ethics, or responsible AI development.
- Public speaking at industry conferences and events.
- Technical writing or video tutorial experience.
Culture & Benefits
- Collaborative research environment focused on trustworthy and steerable AI.
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours and office collaboration.
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