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.
About the TeamThe Apps & Experiences (AppEx) organization powers the unified user experience (Snowsight) for Snowflake. Every major Snowflake customer interacts with our platform through these surfaces, making AppEx central to both customer satisfaction and revenue growth.
Within Appex, our team sits at the intersection of AI, platform, and user experience. We are on a mission to create an AI‑first, scalable, maintainable, and extensible platform to build all Snowflake user experience features. The team owns:
The serving layer that powers Snowsight, Snowflake Intelligence, and UX features
Developer tooling that enable our engineers to move fast and deliver
Frontend infrastructure and shared services for product teams
CI pipelines that ensure fast and reliable builds
Testing and validation platform that maintains code and product quality
The monitoring and logging stack that ensures observability and trust
As a software engineer on the team, you will play a central role in delivering the next generation of tools and evolve our developer infrastructure and tooling to be scalable, highly performant, and AI-first.
Design and build AI-first platforms, tools, and best practices to significantly enhance the developer experience for Snowsight
Drive strategy and initiatives to improve agentic development workflows and build infrastructure to support 10x increases in developer productivity
Improve platform reliability by investing in observability, alerting, SLOs, and automated remediation across our systems.
Collaborate with product managers, architects, other engineering teams, and business groups, to drive end-to-end solutions.
Contribute to improving our engineering processes, tooling, and standards.
Our ideal Staff Software Engineer will have:
Strong passion for making developers highly productive.
7+ years industry experience developing tools for large codebases.
Passion for AI-first processes and for building platforms that enable many teams to move faster while keeping systems maintainable and safe.
Experience with or strong interest in AI or LLM-based applications (agents, prompt/tool engineering, evals, or productionized AI features)
Experience working on enterprise-grade build systems.
Excellent problem solving skills, and strong CS fundamentals including data structures, algorithms, and distributed systems.
Fluency in Go, Java, or Python.
Ability to work in a team environment, collaborate well, and mentor junior engineers.
A strategic mindset and strong sense of what to prioritize for maximum impact.
Excellent interpersonal communication skills.
Outstanding written and oral English language skills
Ability to work on-site at our Bellevue, WA or Menlo Park, CA offices.
If you’re excited about building the platform and AI systems that power how the world’s largest companies experience Snowflake, we’d love to hear from you.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
Skills Required
- 7+ years industry experience developing tools for large codebases
- Fluency in Go, Java, or Python
- Experience working on enterprise-grade build systems
- Experience with or strong interest in AI or LLM-based applications (agents, prompt/tool engineering, evals, productionized AI features)
- Strong CS fundamentals including data structures, algorithms, and distributed systems
- Passion for making developers highly productive and building maintainable, safe platforms
- Experience improving observability, alerting, SLOs, and automated remediation
- Ability to work in a team environment, collaborate well, and mentor junior engineers
- Excellent interpersonal communication and outstanding written and oral English skills
- Ability to work on-site at Bellevue, WA or Menlo Park, CA offices
Snowflake Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.
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Equity Value & Accessibility — Equity grants (RSUs) and an ESPP are central to total compensation and are described as highly valuable. Feedback suggests many see equity as a major satisfaction driver with meaningful upside potential.
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Fair & Transparent Compensation — Pay is considered competitive and accompanied by clear communication on salary, equity, and advancement. Feedback suggests pay practices emphasize fairness and transparency.
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Parental & Family Support — Paid parental leave, fertility benefits, adoption assistance, and family planning resources are notably comprehensive. Feedback suggests these programs materially support major life events.
Snowflake Insights
What We Do
Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.
Why Work With Us
Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.
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