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RDQ427R613
About DatabricksDatabricks is the Data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. As agents move from demos to real production work, Databricks is building the platform that lets enterprises create, govern, and collaborate with coding agents safely and at scale.
Team & ProductOmnigent is Databricks' platform for building, composing, governing, and sharing AI coding agents. It lets people create and coordinate agents across different model providers and execution environments - from the CLI and IDE to desktop, mobile, and managed enterprise surfaces. Users can watch agents work live, jump in to co-drive or fork a session, and package and share reusable agents.
This is a rare chance to define and refine interaction patterns at enterprise scale: how people supervise fleets of agents, intervene at the right moment, understand risk, and build trust in autonomous work - starting with coding, review, and exploration workflows. The hard design problem isn't just showing what agents are doing; it's helping people know when to trust, when to step in, and how to recover when work goes off track - across a high-density desktop workspace and lightweight mobile moments.
You'll design for two audiences at once: an open-source community shaping the future of agent workflows, and enterprise teams adopting agents in governed production.
RoleYou'll be the IC design lead for how humans and fleets of agents work together on Omnigent - leading through product strategy, systems thinking, craft, and cross-functional collaboration. You're equally comfortable shipping small design changes directly in the codebase and prototyping your way through big, ambiguous problems that don't have a spec yet.
You'll own the design direction across desktop and mobile, partner deeply with engineering and product, and translate the frontier of what agents can do into experiences that feel clear, controllable, trustworthy, and surprisingly effortless.
What you'll do- Own the desktop and mobile experience for live agent sessions end to end - from strategy and interaction models to visual polish and shipped detail. Shape the high-density orchestration workflows on desktop and the lightweight monitoring, review, approval, and intervention moments on mobile.
- Design directly in the codebase for well-scoped changes, working alongside engineers to ship real improvements rather than handing off static mocks.
- Use prototypes as a primary thinking tool. For large, vague problems, build interactive prototypes to explore, de-risk, and align the team on a direction.
- Invent the interaction language for agentic work: real-time multi-agent sessions, watch/co-drive/fork flows, human-in-the-loop approvals, agent status and transparency, error and recovery states, and trust.
- Define durable UX principles and interaction frameworks for agent collaboration, approvals, observability, and recovery that other teams reuse across Omnigent surfaces.
- Drive cross-platform consistency with a strong, scalable design system spanning desktop and mobile.
- Ground decisions in evidence - use research instincts and real usage to pressure-test ideas and know what to build next.
- A builder-designer who works fluently with AI tools. You can make small design changes directly in a codebase, and you use prototypes - and the agents themselves - to explore larger, ambiguous problems. You regularly use AI tools in your own design and build workflow.
- A portfolio of strong end-to-end craft - interaction design, visual/UI polish, and design-systems thinking - ideally on developer tools, AI/ML products, enterprise software, or other products for technical users.
- Staff-level scope and impact. A track record of shipping complex, high-quality developer products and leading design direction on hard problems.
- Self-directed, and comfortable in ambiguity - you help shape product direction when the path isn't defined.
- A strong collaborator who raises the level of high-quality critique, clear decision-making, and tight partnership with engineering and product.
- Experience designing coding tools, IDEs, agent frameworks, or developer platforms.
- Familiarity with multi-agent systems, LLM harnesses, or governance/observability tooling.
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
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.
Skills Required
- Ability to make small design changes directly in a codebase and use prototypes and AI tools to explore ambiguous problems
- Fluency with AI tools in design and build workflows
- Portfolio demonstrating strong end-to-end interaction design, visual or UI polish, and design-systems thinking
- Experience with developer tools, AI or machine learning products, enterprise software, or products for technical users
- Staff-level scope and impact, including a track record of shipping complex, high-quality developer products and leading design direction
- Self-directed and comfortable shaping product direction in ambiguous situations
- Strong collaboration skills with engineering and product, including high-quality critique and clear decision-making
- Experience designing coding tools, IDEs, agent frameworks, or developer platforms
- Familiarity with multi-agent systems, LLM harnesses, or governance and observability tooling
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
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Parental & Family Support — Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
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Wellbeing & Lifestyle Benefits — Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
