As a Senior Developer Advocate for AI and Machine Learning at Databricks, you will serve as the voice of the company within the Bay Area AI community. Your role will bridge the gap between engineering teams and data scientists, focusing on how practitioners can effectively use the Databricks Data + AI Platform. You will engage in knowledge-sharing activities, deliver talks, create educational content, and foster relationships with AI practitioners. This position requires a hands-on approach to advocate for AI and ML solutions while actively participating in community events.

• 5+ years of combined experience as a developer advocate and in a hands-on technical role such as software engineer, ML engineer, data scientist, or solutions architect.
• Professional experience in building and operating AI or ML systems.
• Subject matter knowledge of solving AI and ML problems at scale, including agent design, evaluation, and production operations.
• Comprehensive understanding of the Databricks AI ecosystem, including Genie Agents, Genie, MLflow, and Databricks Unity AI Gateway.
• Strong Python skills and fluency with the current agent and ML tooling landscape.
• Active participation and recognized leadership in AI and ML community forums, chats, and meetups.
• Exceptional communication skills, with a talent for articulating complex concepts through writing, teaching, video, and public speaking.

• Be a consistent, recognized presence in the Bay Area AI community by speaking at local user groups and meetups.
• Own medium-to-large advocacy projects end-to-end for the AI and agents area.
• Create production-ready reference implementations, starter kits, and demos for practitioners.
• Develop high-quality educational content such as videos, sample notebooks, datasets, tutorials, and blog posts.
• Drive awareness and adoption of Databricks AI capabilities through speaking engagements at industry events.
• Act as a trusted advisor between the AI community and product teams, influencing roadmap discussions.
• Expand and nurture the Databricks AI and ML community by growing meetups and user groups.
• Gather and analyze community feedback to drive continuous improvement of Databricks products and services.
• Mentor and unblock less-experienced advocates in content, demos, and public speaking.