Software Engineer, AI Native Authoring

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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.

Join the AI-Native Authoring team and help shape how data scientists, analysts, engineers, and AI developers build on Snowflake. From SQL to python, and from Workspaces to our VS Code extension, our team owns the highest impact workloads and surfaces across Snowflake. We even own Snowflake Notebooks end to end, including the notebook service backend, container runtimes, and interactive, Jupyter-based experience our customers work in every day.

Our team is at the center of delivering a profound AI and application-development platform, delivering secure, reliable, reproducible compute environments with a delightful and intuitive editing experience layered on top. These serve all of our customers, including our most critical security-sensitive customers running in regulated and air-gapped deployments.

If you're excited by deep backend systems and delivering polished customer-facing experiences across the full stack, we invite you to be part of our team's success story.

AS A SOFTWARE ENGINEER YOU WILL:

• Drive high-impact initiatives that span our product areas and full tech stack, including golang and Python on the backend and TypeScript/React on the frontend.

• Own and deliver features across the notebook service, container runtimes, and UI — designing and shipping medium-to-large projects independently, from ambiguous problem statements through production and post-launch.