Engineering Manager - Data Visualization Platform

## Responsibilities - Lead a high-performing engineering team in Bellevue focused on revolutionizing how users visualize data with AI/BI Dashboards. - Oversee the sustained recruitment of top-tier frontend and visualization talent and foster a culture of mentorship and professional growth. - Build processes to implement the AI/BI product vision, focusing on "BI Takeout" initiatives to replace legacy tools with superior Databricks-native experiences. - Ensure the visualization platform is not only feature-rich but also high-performing, reliable, and easy to operate. - Manage technical debt (e.g., framework migrations, performance optimizations) while balancing an ambitious roadmap that includes agentic authoring and semantic model integration. ## Requirements - 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. - 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. - A 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. ## Nice to Have - Experience with visualization frameworks like Vega-Lite. - Familiarity with AI-driven chart generation and agentic authoring workflows. - Experience with semantic model integration. ## Benefits - Competitive salary range: $180,500 - $247,000 USD. - Total compensation package may include annual performance bonus, equity, and benefits. - Opportunity to work on cutting-edge AI/BI products that impact global organizations. - Collaborative and innovative work environment with a focus on enabling data teams to solve complex problems.