1 день назад
Developer Advocate (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Developer Advocate (AI) (Python/SQL/Data Platforms): Building technical workshops, content, applications, reference architectures, proof-of-concepts, and hands-on labs for data pipelines and AI workflows with an accent on developer education, API-first data platforms, and AI integrations. Focus on developing AI agents, showcasing distributed data workflows, translating customer feedback into product improvements, and explaining complex technologies to technical communities.
Location: United States; remote-first work arrangement
Company
develops data infrastructure platforms focused on AI acceleration, storage architecture, and API-first data workflows.
What you will do
- Represent at conferences, meetups, and industry events through technical talks and workshops.
- Build relationships with developer communities, AI practitioners, data engineers, customers, and partners.
- Create tutorials, blog posts, videos, documentation, workshop materials, applications, reference architectures, and proof-of-concepts.
- Design hands-on labs and develop AI agents and data pipelines that demonstrate data and AI workflows.
- Showcase integrations with popular frameworks and advise sales engineers and customers on data platform implementations.
- Translate customer feedback into product improvements and increased product adoption while tracking emerging AI technologies.
Requirements
- Background in software development, developer relations, advocacy, or technical evangelism.
- Proven experience with public speaking, technical writing, workshops, or training programs.
- Ability to explain complex technical concepts through clear and compelling narratives.
- Experience with modern AI frameworks, data processing technologies, distributed computing, and data engineering tools.
- Software development experience with Python, SQL, vector databases, or similar technologies.
- Approximately 20% travel is required for conferences, customer visits, and workshops.
Nice to have
- Knowledge of advanced storage and compute architectures, containerization, orchestration, cloud-native technologies, and modern databases.
- Experience with or similar data platform technologies.
- Experience building and deploying production data pipelines.
- Active social media presence in relevant technical communities.
- Experience with enterprise customers in the data infrastructure space.
Culture & Benefits
- Work with data infrastructure technologies focused on AI and technical innovation.
- Collaborative environment centered on technical excellence.
- Competitive compensation package including equity.
- Professional development opportunities and conference attendance.
- Flexible work arrangements at a remote-first company.
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