--- title: 'Principal Software Engineer at Snowflake' canonical: 'https://feeny.ai/job/principal-software-engineer-snowflake-menlo-park-a3amet6y7wbm' type: 'job' last_seen: '2026-09-11' --- # Principal Software Engineer at Snowflake - **Company:** [Snowflake](https://feeny.ai/companies/snowflake) - **Location:** Menlo Park, CA - **Compensation:** $236k–$339k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-07-28 - **Last confirmed live:** 2026-09-11 - **Apply:** https://jobs.ashbyhq.com/snowflake/ef4a5f8b-76c5-4b98-a52a-6e65aef426ba ## Job description 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 Team The 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 CoWork, 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 ## What You Will Do 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. ## What We’re Looking For Our ideal Principal Software Engineer will have: - Strong passion for making developers highly productive. - 12+ 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. 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](http://careers.snowflake.com) ## About Snowflake ## Company Overview - **One-liner**: Snowflake provides an AI Data Cloud platform that enables enterprises to store, analyze, and securely share their data across multiple clouds and geographies. - **Entity Type**: Public (NYSE: SNOW) - **Headquarters**: Bozeman, Montana, United States - **Founded**: 2012 - **Founders**: Not explicitly listed in the provided search results (widely known co-founders include Benoit Dageville, Thierry Cruanes, Marcin Zukowski – not verified in these search results) ## Core Business - **Primary Industry**: Enterprise software, cloud data platform - **Target Customers**: B2B, including large enterprises (e.g., hundreds of the world’s largest companies), mid-market, and SMBs - **Mission**: “To Mobilize the World’s Data” (Glassdoor) and “empower every enterprise to achieve its full potential through data and AI” (Snowflake Careers page) ## Products & Services - **Snowflake AI Data Cloud**: A unified, multi-cloud platform that combines data warehousing, data lakes, data sharing, and AI/ML capabilities. Customers can discover, share, and analyze data while running analytic workloads across public clouds (AWS, Azure, GCP). - **Snowflake Marketplace**: A marketplace for discovering and accessing third‑party data sets and applications. - **Snowflake‑Powered Applications**: Platform for building and deploying data‑intensive applications. ## Market Standing - **Valuation/Market Cap**: Not directly provided in search results (as a public company, market cap fluctuates and is available on financial websites). - **Key Metric**: Annual Revenue – $1 to $5 billion (USD) per Glassdoor. - **Notable Investors/Partners**: Not explicitly mentioned in the search results (historically backed by Sequoia Capital, Dragoneer, etc. – not verified here). - **Growth Signals**: - Named #1 on the 2023 Fortune Future 50 List ([Fortune.com](https://fortune.com)) - Listed as a U.S. Best Large Place to Work by BuiltIn in 2024 - Recognized as one of the “20 Coolest Cloud Software Companies” by CRN in 2022 and 2024 - Headcount of 5,001–10,000 employees with 30 global locations; actively hiring - Revenue range $1B–$5B indicates strong scale ## Competitive Advantages - **Multi‑Cloud Flexibility**: Operates across AWS, Azure, and GCP, avoiding vendor lock‑in. - **Unified Data Experience**: One platform for data sharing, analytics, and AI, reducing silos. - **Separation of Compute and Storage**: Allows independent scaling and cost efficiency (not detailed in provided sources, but a known differentiator). - **Strong Ecosystem**: Data marketplace and extensive partner network. ## Strategic Focus - **AI & Data Innovation**: The company’s current emphasis is on making “enterprise AI easy, efficient, and trusted” and integrating AI capabilities into the Data Cloud. - **Global Expansion**: Active hiring across 30 locations indicates continued geographic growth. - **Customer‑Centric Development**: Focus on empowering enterprises to achieve “full potential through data and AI.” ## Why Work Here - **Culture**: Described as “driven by innovation, low egos, high bars, and collaboration” (Snowflake Careers page). Glassdoor rating of 3.9/5 overall (78% approve CEO). - **Work‑Life Balance**: Glassdoor rates Work/Life Balance at 3.7/5; many remote and hybrid roles available (see Indeed listings). - **Benefits**: “Benefits & Beyond” program includes competitive compensation, equity, career advancement programs, and commitment to pay equality and veteran hiring. - **Engineering Focus**: Hiring process includes 2–4 week timeline with technical interviews; the company values impactful, project‑based work for all roles, including interns. - **Recognition**: Named a Best Large Place to Work (BuiltIn 2024) and future‑focused by Fortune, signaling strong employer brand. ## Sources 1. [Snowflake Careers Overview](https://careers.snowflake.com/us/en) 2. [Life at Snowflake](https://careers.snowflake.com/us/en/snowflake-life) 3. [Snowflake on Glassdoor](https://www.glassdoor.com/Overview/Working-at-Snowflake-EI_IE928471.11,20.htm) 4. [Snowflake Hiring Process](https://careers.snowflake.com/us/en/gethired) 5. [Snowflake on Indeed](https://www.indeed.com/cmp/Snowflake-7f4a7fba) 6. [Snowflake Careers Portal (Ashby)](https://jobs.ashbyhq.com/snowflake) – provided by user ## Other roles at Snowflake - [Software Engineer](https://feeny.ai/job/software-engineer-snowflake-warsaw-rk93stde6gfz) — Warsaw, Poland - [Strategic Account Executive, Majors Acquisition](https://feeny.ai/job/strategic-account-executive-majors-acquisition-snowflake-texas-z28sj7wdvvq8) — Texas, United States - [Staff Technical Program Manager - Security](https://feeny.ai/job/staff-technical-program-manager-security-snowflake-menlo-park-wq8j55r9qq5p) — Menlo Park, CA - [Engineering Manager](https://feeny.ai/job/engineering-manager-snowflake-menlo-park-hcb2t29d5htr) — Menlo Park, CA - [Senior Manager, Technical Program Management - Security](https://feeny.ai/job/senior-manager-technical-program-management-security-snowflake-menlo-park-94cf3wxj9d56) — Menlo Park, CA - [Principal Software Engineer - Semantic Views](https://feeny.ai/job/principal-software-engineer-semantic-views-snowflake-menlo-park-rsztyc80kfn7) — Menlo Park, CA - [Solution Engineer](https://feeny.ai/job/solution-engineer-snowflake-colombia-3cf4hpmqq9ye) — Colombia - [Senior/Staff Software Engineer – LLM Inference & Reinforcement Learning Platform](https://feeny.ai/job/senior-staff-software-engineer-llm-inference-reinforcement-learning-platform-dwrjfex7daq2) — Bellevue, WA - [Services Solutions Manager](https://feeny.ai/job/services-solutions-manager-snowflake-united-kingdom-f5bh8de9z9m1) — United Kingdom - [Account Executive](https://feeny.ai/job/account-executive-snowflake-helsinki-wxb5sh46d89y) — Helsinki, Finland