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 to build and govern agentic systems on the Databricks Data + AI Platform. You will engage with practitioners through talks, meetups, and content creation, ensuring that the community's needs are met. This position requires a hands-on practitioner with a passion for data and AI who is eager to foster relationships within the community.

• 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 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.
• Based in the Bay Area and willing to engage with the community regularly, including evenings.
• Active participation and recognized leadership in AI and ML community forums, chats, and meetups.
• A public portfolio of technical work, including tutorials, talks, repositories, or community contributions.
• Proven track record in nurturing developer communities and organizing user groups.
• Exceptional communication skills with the ability to articulate complex concepts.

• Be a consistent 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, tutorials, and blog posts.
• Drive awareness and adoption of Databricks AI capabilities through industry speaking engagements.
• 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.
• Mentor and support less-experienced advocates in content creation and public speaking.