Developer Advocate - AI & Developer Experiences
Early-career developer advocate creating technical content, demos, workshops, and community programs for AI and developer products. The role requires a strong software foundation, familiarity with modern AI development and developer tooling, and excellent communication and presentation skills.
About the job
Responsibilities
- Create technical content and adoption assets, including documentation, quickstarts, tutorials, code samples, demos, and reference applications.
- Turn complex AI, data, and application-development concepts into practical learning experiences.
- Develop reusable patterns, templates, and playbooks for moving builders from first use to production.
- Support product launches by testing developer journeys, identifying friction, and creating enablement assets.
- Design and deliver workshops, hackathons, talks, and hands-on labs.
- Create customer-ready demos, solution briefs, presentations, and technical walkthroughs with field and go-to-market teams.
- Gather and synthesize developer feedback into product insights.
- Partner with Product and Engineering to improve onboarding, documentation, samples, APIs, tools, and developer experience.
- Use qualitative feedback and adoption metrics to evaluate content and programs.
- Participate in developer, data, AI, and open-source communities.
Requirements
- Bachelor's or master's degree in Computer Science, Engineering, AI/ML, Data Science, Human-Computer Interaction, a related technical field, or equivalent practical experience.
- Strong technical foundation and experience building software products through roles, internships, coursework, open-source contributions, or substantial projects.
- Experience with developer tools, APIs, SDKs, CLI tools, source control, and CI/CD.
- Familiarity with prompting, grounding, evaluation, RAG, agents, tool calling, or LLM APIs.
- Excellent written and verbal communication skills.
- Ability to present and facilitate technical sessions for varied audiences.
- Bias for action, ownership, rapid learning, and iteration.
- Strong collaboration skills across technical and non-technical teams.
Nice-to-haves
- Internship, co-op, or project experience as a software, data, ML/AI, or solutions engineer.
- Experience with Snowflake or another cloud data platform.
- Understanding of SQL, ELT/ETL, notebooks, dbt, data science, or application development workflows.
- Contributions to open-source projects, technical blogs, documentation, videos, or developer communities.
- Experience organizing hackathons, meetups, workshops, student clubs, or technical community programs.
- Experience measuring content, community, or product adoption with quantitative and qualitative signals.
Compensation
- United States salary range: $122,000–$175,000 annually.
Skills
AI, Developer Experience, Technical Writing, APIs, SDKs, Cli Tools, Git, CI/CD, Prompting, Retrieval-Augmented Generation, AI Agents, Tool Calling, LLM APIs, SQL, dbt
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