Join Databricks as a Senior Developer Advocate to build and grow the open source community around Omnigent, an AI agent framework.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
You'll help developers integrate Omnigent into their own stacks, including those unrelated to Databricks.
Requirements
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
In the role of Senior Developer Advocate for Omnigent at Databricks, the individual will engage with the open source community, focusing on building resources like templates and demos to facilitate developer contributions. Key skills include strong proficiency in Python and TypeScript, along with hands-on experience in agentic developer tooling. This position is ideal for someone with over five years of experience in developer advocacy and technical roles, who is passionate about fostering community engagement and collaboration. The role is pivotal as Omnigent is in its early stages, allowing the advocate to significantly influence its development and adoption.
Joblaze insights
Quick facts
From the original posting
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At Databricks, we are passionate about enabling data teams to solve the world's most challenging problems — from making the next mode of transportation a reality to accelerating medical breakthroughs. We do this by building and running the world's best data and AI platform, enabling our customers to use deep data insights to improve their businesses. Our ability to execute this mission depends on building trust and recognition within an ever-growing community of data engineers, analysts, scientists, machine learning practitioners, and AI practitioners.
Are you a Developer Advocate who thrives in the spotlight, loves presenting and hosting events, and is genuinely hands-on with agentic developer tooling — the kind of person who has already wired up three coding agents and has opinions about what breaks?
As a Senior Developer Advocate for Omnigent, you'll be a vital bridge between our engineering teams and the open source community forming around Omnigent, our meta-harness for AI agents. Omnigent sits one level above harnesses like Claude Code, Codex, Cursor, and Pi, giving developers a common interface to compose agents, govern them with contextual policies, sandboxing, and cost controls, and collaborate on live sessions from any device. Your focus is squarely on the open source project and the community around it: templates, demos, and reference implementations that developers can clone, fork, and extend, and the contributors who will help the project grow beyond us.
This is a build-the-community role. Omnigent is early, and the people who adopt it now will shape what it becomes. You'll help developers integrate it into their own stacks, make it easy for new contributors to land their first pull request, and create the kind of momentum where the project's best advocates are people who don't work here.
Your responsibilities will encompass a wide range of knowledge-sharing activities. You'll deliver engaging talks, host panels and meetups, create blogs and video content, build courseware and sample repositories, answer questions in community forums and issue trackers, and meet one-on-one with influential practitioners.
Reporting to the Head of Developer Relations, you'll collaborate with fellow Developer Advocates and program managers to create and execute a cohesive and impactful open source strategy.
The ideal candidate embodies the values of our Developer Relations team: a deep passion for data and AI, genuine empathy for developers' needs, and the ability to explain complex ideas clearly and responsibly.
The Developer Relations (DevRel) team at Databricks is dedicated to building and fostering relationships with communities of data practitioners. Our goal is to drive awareness and adoption of the Databricks Data + AI Platform — including Lakeflow, Lakebase, Genie Agents, and AI/BI — alongside the open source projects that underpin it, such as Apache Spark™, Delta Lake, Unity Catalog, MLflow, Apache Iceberg™, and Omnigent. Our team also owns programs like the Databricks MVP program, the user group program, and DevConnect roadshows.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
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