Staff Fullstack Engineer

SnowflakeMenlo Park, CA
$236,000 - $339,200

About The Position

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is building AI BI: a new way for anyone in a company to ask questions and get accurate, auditable answers from their data, whether as visualizations or plain-language insights. We are looking for a senior+ level full-stack engineer to help build this experience end to end. This is not about recreating every long-tail feature from legacy BI tools. We are building something lightweight, composable, and understandable by AI. The goal is to help business users, analysts, and data teams move from question to answer faster, while creating a product that is robust, scalable, and delightful to use. You should be excited to work across the stack, move quickly, and make strong product and engineering tradeoffs. The ideal candidate has experience building durable systems at enterprise scale, but is also comfortable operating with startup speed and ambiguity.

Requirements

  • Strong full-stack engineering skills and a track record of shipping customer-facing products.
  • Operated at senior+ level.
  • Knows how to build robust, scalable systems in complex environments.
  • Can move fast, iterate quickly, and stay effective in ambiguous 0→1 spaces.
  • Strong product sense and cares deeply about user experience.
  • Highly fluent with modern AI tools and uses them to accelerate development.
  • Brings sound judgment, clear communication, and high ownership.

Nice To Haves

  • Familiar with and on the upper levels of the Yegge Scale

Responsibilities

  • Build core product capabilities for AI-native dashboards and analytics experiences using JavaScript (React), Go, Java.
  • Drive projects end to end across frontend, backend, architecture, and product details.
  • Partner closely with product, design, and sister teams to deliver cohesive user experiences.
  • Make thoughtful tradeoffs between speed, quality, and long-term maintainability.
  • Help shape technical direction, raise the engineering bar, and mentor other engineers.

Benefits

  • Confidentiality and security standards for handling sensitive data
  • Abide by the company’s data security plan
  • Keep customer information secure and confidential
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