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.
More about the DevRel team
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.
The impact you will have
Own medium-to-large advocacy projects end-to-end for Omnigent, from scoping through delivery.
Grow the Omnigent contributor community: lower the barrier to a first contribution, review and triage in the open, and help new maintainers take on real responsibility.
Drive external adoption by showing developers how to integrate Omnigent into their existing agent stacks and their own products — including stacks that have nothing to do with Databricks.
Create practical templates, sample repositories, and reference implementations that developers can clone, fork, and ship.
Create high-quality educational content — videos, tutorials, courseware, and blog posts — covering harness composition, contextual policies, sandboxing, and cost controls, and reuse each core asset across formats.
Drive awareness and adoption of Omnigent through speaking engagements at industry events, conferences, and meetups.
Act as a trusted advisor between the community and our engineering team, and influence roadmap discussions with what you learn.
Support developers where they already are — GitHub issues, Discord, Slack, Stack Overflow, and Reddit — and keep a real pulse on what's blocking them.
Mentor and unblock less-experienced advocates in content, demos, and public speaking.
What we look for
5+ years of combined experience as a developer advocate and in a hands-on technical role — software engineer, ML engineer, or solutions architect.
Professional experience actually building software, and current hands-on experience with agentic developer tooling and coding agents.
Strong Python and TypeScript skills, and comfort at the command line and in other people's codebases.
Demonstrated experience contributing to open source projects and working in the open — issues, pull requests, reviews, and release processes.
Subject matter knowledge of agent architecture, orchestration, sandboxing, and the practical problems of running agents safely and affordably.
Experience growing a contributor community, not just a user base.
Active participation and recognized leadership in open source community forums, chats, and meetups — measured by what the community builds with your help, not by follower count.
A public portfolio of technical work: repositories, tutorials, talks, or sustained community contributions.
Exceptional communication skills, with a talent for articulating complex concepts through writing, teaching, video, and public speaking.
Deep empathy for developer needs, with the ability to craft engaging experiences across tutorials, sample projects, and community platforms.
Adept at collaborating with cross-functional stakeholders to align community initiatives with product objectives.
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.
Zone 1 Pay Range
$149,200—$205,150 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
