---
title: 'Senior Fullstack Engineer at Snowflake'
canonical: 'https://feeny.ai/job/senior-fullstack-engineer-snowflake-menlo-park-jedwq1ev49sc'
type: 'job'
last_seen: '2026-09-04'
---

# Senior Fullstack Engineer at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Menlo Park, CA
- **Compensation:** $200k–$288k
- **Employment:** full-time
- **Posted:** 2026-07-07
- **Last confirmed live:** 2026-09-04
- **Apply:** https://jobs.ashbyhq.com/snowflake/aa3663d6-9566-4018-8f47-b7a7937b1d23

## 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.

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.

## IN THIS ROLE, YOU WILL

- 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.

## WE’RE LOOKING FOR SOMEONE WHO

- Has strong full-stack engineering skills and a track record of shipping customer-facing products.
- Has 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.
- Has strong product sense and cares deeply about user experience.
- Is highly fluent with modern AI tools and uses them to accelerate development.
- Brings sound judgment, clear communication, and high ownership.
- Bonus points if you’re familiar with and on the upper levels of the Yegge Scale

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 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

- [Strategic Events Specialist, EMEA](https://feeny.ai/job/strategic-events-specialist-emea-snowflake-london-e0aktq37y0hh) — London, United Kingdom
- [Sales Development Representative](https://feeny.ai/job/sales-development-representative-snowflake-sydney-x4rdpkcc3yzd) — Sydney, Australia
- [AI Research Scientist, New Grad – Agents & Reinforcement Learning](https://feeny.ai/job/ai-research-scientist-new-grad-agents-reinforcement-learning-snowflake-bellevue-a87enzz636zr) — Bellevue, WA
- [Principal Business Operations Manager, Ops & AI Tooling](https://feeny.ai/job/principal-business-operations-manager-ops-ai-tooling-snowflake-menlo-park-cv7r8zmydckx) — Menlo Park, CA
- [Senior Software Engineer - Cloud Efficiency](https://feeny.ai/job/senior-software-engineer-cloud-efficiency-snowflake-bellevue-nd411k1s2v4a) — Bellevue, WA
- [Head of Marketing, GCC](https://feeny.ai/job/head-of-marketing-gcc-snowflake-bangalore-8j4b1v6w8eyq) — Bangalore, India
- [Enterprise Account Executive - Expansion](https://feeny.ai/job/enterprise-account-executive-expansion-snowflake-stockholm-dqa3xyhzth4f) — Stockholm, Sweden
- [Senior Cloud Support Engineer](https://feeny.ai/job/senior-cloud-support-engineer-snowflake-tokyo-mjkx9212eavf) — Tokyo, Japan
- [Solutions Architect, Frontier Engineering](https://feeny.ai/job/solutions-architect-frontier-engineering-snowflake-tokyo-6zrwry1jdaw4) — Tokyo, Japan
- [Senior Software Engineer - Cloud Security](https://feeny.ai/job/senior-software-engineer-cloud-security-snowflake-menlo-park-sj8s5qyrkvgq) — Menlo Park, CA