---
title: 'Principal Forward Deployed Engineer I, Frontier Engineering at Snowflake'
canonical: 'https://feeny.ai/job/principal-forward-deployed-engineer-i-frontier-engineering-snowflake-menlo-park-wzb965xmsew9'
type: 'job'
last_seen: '2026-10-16'
---

# Principal Forward Deployed Engineer I, Frontier Engineering at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Menlo Park, CA
- **Compensation:** $264k–$380k
- **Employment:** full-time
- **Posted:** 2026-10-15
- **Last confirmed live:** 2026-10-16
- **Apply:** https://jobs.ashbyhq.com/snowflake/2c4475a5-c88a-48fc-878a-8b324679745a

## 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 about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level. We are hiring a Principal Forward Deployed Engineer for our Frontier Engineering team. This team embeds directly with Snowflake's most strategic customers to design, build, and deploy production-grade AI systems . At the Principal level, you are the senior technical counterpart to CTOs, VPs of Engineering, and chief architects at our largest enterprise customers; you set the technical direction that the Frontier Engineering organization follows.

AS A PRINCIPAL FORWARD DEPLOYED ENGINEER YOU WILL:

- Be the trusted technical partner to customer engineering leadership: Build durable, peer-level relationships with CTOs, VPs of Engineering, chief architects, and heads of data/AI at Snowflake’s most strategic accounts: lead architectural steering, technical reviews, and executive strategy alignment to help shape their AI roadmaps.
- Drive Architecture & Technical Strategy Across High-Stakes Deployments: Own end-to-end technical execution and outcomes across Snowflake’s most complex, high-visibility AI engagements.
- Stay hands-on: Write production code and working prototypes on the most critical parts of customer programs, and review designs and code to set the bar for how the team builds.
- Own the AI quality bar: Lead how the team measures and improves AI quality, turning ambiguous customer goals into clear, testable evaluation standards.
- Provide Technical Leadership & Mentorship: Mentor Senior and Staff engineers, raise engineering standards across the organization, and partner with cross-functional leads to drive complex technical initiatives.
- Travel to Customer Sites: Spend at least 25% of your time onsite working with customers.

## OUR IDEAL CANDIDATE WILL HAVE:

- 15+ years of software engineering experience, including at least 3 years building and shipping production AI/ML or agentic systems at enterprise scale.
- Proven track record as a trusted technical advisor to CTOs and executive engineering leaders at large enterprises.
- Demonstrated success converting client/field delivery patterns into reusable platforms, tools, frameworks, or open-source libraries.
- Deep expertise in production AI architectures—including RAG pipelines, multi-step agentic systems, evaluation frameworks, and guardrails.
- Hands-on builder who writes and reviews production code and stays close to implementation.
- Strong systems mindset with exceptional technical communication skills across both deeply technical and executive audiences.

## BONUS POINTS FOR THE FOLLOWING:

- Experience shipping features into a commercial data or AI platform, based on customer requirements.
- Active contributions to open-source AI frameworks, technical publications, or industry speaking engagements.
- Familiarity with Cortex AI, Snowpark, or modern enterprise data infrastructure platforms.

WHY JOIN FRONTIER ENGINEERING AT SNOWFLAKE? Frontier Engineering is where Snowflake’s AI platform meets reality. You’re not building demos, you’re shipping AI applications that run in some of the world’s most complex enterprise environments. You will work on hard problems with real stakes, alongside engineers who are deeply technical and customer-obsessed. How do you want to make your impact? 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

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- [Senior Solution Engineer - GCC](https://feeny.ai/job/senior-solution-engineer-gcc-snowflake-bangalore-rk8h5367fa0c) — Bangalore, India
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