Staff Product Designer, AI Products

Responsibilities

• Drive key product and design initiatives within a strategic new product area at Databricks, helping organizations activate and operationalize their data at scale.
• Define a new generation of agent-driven workflows that help users move seamlessly from data and insights to decisions and action.
• Collaborate closely with product management, engineering, and leadership to shape the future of business applications on the Databricks platform.
• Design intuitive user experiences that simplify complex workflows while preserving the flexibility and power required by enterprise organizations.
• Develop a deep understanding of Databricks business objectives, customer needs, emerging AI capabilities, and the evolving data and technology landscape.
• Conduct user research to identify customer needs, pain points, and opportunities related to data activation, and AI-assisted workflows.
• Mentor junior designers, fostering their growth and development within our team.

Requirements

• 8+ years of product design work experience
• Bachelor's or master’s degree in design, computer science, human-computer interaction, or related field
• Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders
• Execute beautiful visual and interaction work that’s rooted in a data-driven, and well-researched UX process
• System thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally
• Unique combination of technical knowledge and visual design skills which allows you to design powerful and intuitive tooling for technical users
• Portfolio demonstrating your end-to-end design process, from inception to production

Nice-to-Haves

• Experience designing products that bridge the gap between technical and business users
• Familiarity with data, analytics, AI, or enterprise software
• Experience using modern development and AI-assisted coding tools to prototype ideas, understand implementation tradeoffs, and collaborate deeply with engineering teams