S t a f f F u l l S t a c k S o f t w a r e E n g i n e e r , T a p e s t r ySoftware Engineering Mountain View, CA, San Francisco, CA, New York, NY
About the role: As a Staff Frontend Engineer, you will define the architectural vision for how the world visualizes and interacts with the future of the electric grid. You will lead the technical roadmap for our web platforms, bridging the gap between complex power-system AI and intuitive, high-performance user experiences that enable global energy leaders to make trillion-dollar decisions.
How you will make 10X Impact: - 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.
What you should have: - 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. You understand the nuances of non-deterministic UIs, including handling streaming responses, state management for long-running agentic tasks, and building robust feedback loops.
- A deep understanding of next-generation interaction patterns. You have 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.
- The ability to design for the "Human-in-the-loop." You can architect systems where AI suggestions are seamlessly integrated with human expertise, ensuring clarity, trust, and safety in high-stakes energy planning.
- A track record of taking "impossible" levels of complexity and distilling them into intuitive workflows that feel effortless to the end user.
It'd be great if you also had these: - 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.
Our values - Take charge: We take initiative and own outcomes that move the mission forward.
- Transform with purpose: We build solutions that solve real problems and create meaningful impact.
- Be a Tapestry, not a thread: We collaborate across diverse skills and perspectives to achieve more than we can individually.
- Always fine-tune: We stay curious, seek feedback, and refine our understanding as we learn.
- Stay grounded: We listen openly, value different perspectives, and stay focused on what matters most.
What we offer A culture that supports growth, ownership, and meaningful impact, along with:
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- 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
The US base salary range for this full-time position is $207,000 - $300,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
