About the job
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI products so our customers can use deep data insights to improve their business. We are the Data Visualization team, a core part of the AI/BI organization. Our mission is to enable everyone in an organization to make intelligent business decisions informed by the best data available. We empower business teams via self-service analytics, helping them author high-quality visualizations and dashboards using our AI-first authoring experience. We own the visualization library, the dashboarding canvas, and the agentic authorizing workflows that bridge the gap between complex data and actionable insights.
Responsibilities
Lead a Talented Team: You will lead a high-performing engineering team in Bellevue focused on revolutionizing how users visualize data with AI/BI Dashboards.
Talent Development: You will oversee the sustained recruitment of top-tier frontend and visualization talent and foster a culture of mentorship and professional growth.
Strategic Execution: You will build processes to implement the AI/BI product vision, focusing on 'BI Takeout' initiatives to replace legacy tools with superior Databricks-native experiences.
Operational Excellence: You will ensure the visualization platform is not only feature-rich but also high-performing, reliable, and easy to operate.
Technical Stewardship: You will manage technical debt (e.g., framework migrations, performance optimizations) while balancing an ambitious roadmap that includes agentic authoring and semantic model integration.
Qualifications
Minimum
5+ years of hands-on experience in web frontend development, with a strong preference for React-based applications and modern state management (e.g., MobX).
2+ years leading and managing high-performing engineering teams, ideally in a fast-paced product environment.
Preferred
A deep interest in data visualization, charting libraries (e.g., D3.js, Vega-Lite), or UX for complex data tools.
Proven ability to drive technical initiatives that improve team productivity, such as optimizing CI/CD runtimes or streamlining visualization frameworks.
Strong track record of attracting, hiring, and retaining top engineering talent, including the ability to mentor engineers at various levels.
Experience working with cross-functional stakeholders including Product Management, Design, and AI Research teams to deliver agentic product experiences.
Resilience in a rapidly evolving tech environment, with the ability to pivot priorities based on customer feedback and emerging AI capabilities.