Staff Frontend Software Engineer

Tapestry • Mountain View, NY

4d • $207,000 - $300,000 • Hybrid

About The Position

The Tapestry team within Alphabet is seeking a Staff Frontend Engineer to define the architectural vision for how the world visualizes and interacts with the future of the electric grid. This role will lead the technical roadmap for our web platforms, bridging the gap between complex power-system AI and intuitive, high-performance user experiences. The goal is to enable global energy leaders to make trillion-dollar decisions. The engineer will be responsible for leading the design and evolution of a highly performant, enterprise-grade frontend architecture capable of visualizing massive, real-time geospatial and time-series data sets. They will establish engineering excellence by defining best practices for state management, testing, and component-driven development. A key aspect of the role is defining the next generation of Human-AI Interaction for the energy sector, architecting agentic workflows and ML-powered interfaces that move the platform from passive visualization to proactive decision support. This involves allowing users to navigate high-stakes complexity through predictive automation and natural language reasoning. The engineer will partner with AI Research and Power Systems teams to translate complex algorithmic outputs into actionable, streamlined, AI-assisted experiences and radical simplifications for users. They will influence the multi-year product roadmap, identifying technical risks and opportunities, and optimize the "Critical Rendering Path" for high-stakes environments, ensuring responsiveness while handling millions of data points via WebGL or Canvas. Additionally, the role involves raising the bar for the entire engineering organization through deep technical mentorship, code reviews, and fostering a culture of rigorous craftsmanship.

Requirements

• 10+ years of experience in frontend or fullstack engineering, with a history of leading the technical vision for complex, large-scale platforms.
• Proven experience building enterprise applications that leverage Large Language Models (LLMs), agentic frameworks, or predictive ML models.
• Understanding of the nuances of non-deterministic UIs, including handling streaming responses, state management for long-running agentic tasks, and building robust feedback loops.
• Deep understanding of next-generation interaction patterns.
• Experience moving beyond traditional "point-and-click" dashboards toward intent-based interfaces and generative user interfaces that adapt to user goals in real-time.
• Mastery of TypeScript and modern frameworks (React/Angular), paired with a solid grasp of how to interface with shared services and orchestration layers.
• Ability to design for the "Human-in-the-loop."
• Architect systems where AI suggestions are seamlessly integrated with human expertise, ensuring clarity, trust, and safety in high-stakes energy planning.
• Track record of taking "impossible" levels of complexity and distilling them into intuitive workflows that feel effortless to the end user.

Nice To Haves

• Experience with power systems, GIS (Geographic Information Systems), or climate-tech applications.
• Familiarity with Kotlin, Java, Python or Go, and the ability to contribute to the backend services that power your frontends.
• Experience working in high-growth or "zero-to-one" environments.

Responsibilities

• Lead the design and evolution of a highly performant, enterprise grade frontend architecture capable of visualizing massive, real-time geospatial and time-series data sets.
• Establish engineering excellence across the organization by defining best practices for state management, testing, and component-driven development.
• Define the next generation of Human-AI Interaction for the energy sector.
• Architect agentic workflows and ML-powered interfaces that move the platform from passive visualization to proactive decision support, allowing users to navigate high-stakes complexity through predictive automation and natural language reasoning.
• Partner with AI Research and Power Systems teams to translate complex algorithmic outputs into actionable, streamlined, AI-assisted experiences and radical simplifications for our users.
• Influence the multi-year product roadmap, identifying technical risks and opportunities.
• Optimize the "Critical Rendering Path" for high-stakes environments, ensuring our tools remain responsive while handling millions of data points via WebGL or Canvas.
• Raise the bar for the entire engineering org through deep technical mentorship, code reviews, and fostering a culture of rigorous craftsmanship.

Benefits

• Competitive salary and equity
• Medical, dental, and vision coverage
• Generous PTO and flexible hybrid work model
• 401(k) with employer contribution
• Professional development
• The ability to work on important real-world problems within an Alphabet-backed environment

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed