Lead a high-performing engineering team focused on data visualization, leveraging AI/BI Dashboards. Oversee talent development, strategic execution, and operational excellence while managing technical debt and an ambitious product roadmap.
181k – 247k/yr
On-site5+ YOEEngineering Management
About the role
The Role
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.
What We Look For
Frontend Expertise: 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).
Management Experience: 2+ years leading and managing high-performing engineering teams, ideally in a fast-paced product environment.
Visualization Passion: A deep interest in data visualization, charting libraries (e.g., D3.js, Vega-Lite), or UX for complex data tools.
Efficiency Driver: Proven ability to drive technical initiatives that improve team productivity, such as optimizing CI/CD runtimes or streamlining visualization frameworks.
Talent Magnet: A strong track record of attracting, hiring, and retaining top engineering talent, including the ability to mentor engineers at various levels.
Collaborative Leader: Experience working with cross-functional stakeholders including Product Management, Design, and AI Research teams to deliver agentic product experiences.
Adaptability: Resilience in a rapidly evolving tech environment, with the ability to pivot priorities based on customer feedback and emerging AI capabilities.
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