---
title: 'Principal Software Engineer - AI Poland at Snowflake'
canonical: 'https://feeny.ai/job/principal-software-engineer-ai-poland-snowflake-poland-hyajwcgkk1n5'
type: 'job'
last_seen: '2026-09-18'
---

# Principal Software Engineer - AI Poland at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Poland
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-04-07
- **Last confirmed live:** 2026-09-18
- **Apply:** https://jobs.ashbyhq.com/snowflake/b6e0f4a7-7e69-4c92-b3cc-13d018bbabe9/application

**Skills:** Python, Distributed Systems, Data Structures, Algorithms, AI/ML, NLP, C, C++, Go

> Design and build scalable, governed AI Functions products for Snowflake's Cortex Platform. The role involves creating distributed platforms, ensuring operational readiness, and collaborating with cross-functional teams to deliver reliable AI ETL solutions.

## 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 Software Engineer for our AI team. Our team delivers an AI Functions product that is the key Cortex Platform feature used by Snowflake customers. We're delivering scalable, governed, managed, powerful and flexible transformation primitives that allow customers to build AI ETL pipelines on all data. We focus on solving the hard research and engineering problems required to make high quality multi-cloud service work. If you enjoy designing and building the AI services that run reliably at scale, this is the team for you. AS PRINCIPAL SOFTWARE ENGINEER IN AI & ML YOU WILL:

- Build customer facing AI Functions portfolio of products
- Design and implement highly scalable distributed platforms within the global Snowflake platform.
- Participate in decision-making processes on technical or business issues.
- Collaborate with engineers across teams to help deliver cross-functional initiatives.
- Ensure operational readiness of the services and meet the commitments to our customers regarding reliability, availability and performance.

IDEAL PRINCIPAL SOFTWARE ENGINEER WILL HAVE:

- 14+ years industry experience designing, building and supporting large-scale systems in production.
- Passionate about AI/ML and NLP space
- Deep multi-faceted appreciation in building end-to-end customer facing products.
- Strong CS fundamentals, including proficiency with data structures, algorithms, and distributed systems (Fluency in Python, or Java preferred)
- Knowledge of C, C++, Go is a big plus.
- Experience working with cross teams and product managers.
- BS/MS/PhD in Computer Science or related majors.

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

- [Staff Software Engineer, Frontier Security Team](https://feeny.ai/job/staff-software-engineer-frontier-security-team-snowflake-menlo-park-s0j1d6rx7y26) — Menlo Park, CA
- [Solutions Architect, Frontier Engineering](https://feeny.ai/job/solutions-architect-frontier-engineering-snowflake-tokyo-sm1dgx3ybzss) — Tokyo, Japan
- [Sales Development Representative](https://feeny.ai/job/sales-development-representative-snowflake-menlo-park-rgxgzwcztf7b) — Menlo Park, CA
- [Staff Software Engineer, Cortex AI Search Infrastructure](https://feeny.ai/job/staff-software-engineer-cortex-ai-search-infrastructure-snowflake-menlo-park-j5d8xyax30bc) — Menlo Park, CA
- [Intermediate/ Senior Software Engineer - Cortex LLM Training Platform](https://feeny.ai/job/intermediate-senior-software-engineer-cortex-llm-training-platform-snowflake-npmnzsyr6rp8) — Bellevue, WA
- [Director, Global Marketing Operations](https://feeny.ai/job/director-global-marketing-operations-snowflake-menlo-park-2j23y8ca32dm) — Menlo Park, CA
- [Senior/Staff System Research Engineer – LLM Inference Optimization](https://feeny.ai/job/senior-staff-system-research-engineer-llm-inference-optimization-snowflake-dwrjfex7daq2) — Bellevue, WA
- [Principal Software Engineer - Performance Engineering (Cloud Infrastructure)](https://feeny.ai/job/principal-software-engineer-performance-engineering-cloud-infrastructure-hr4dbyfrgvq9) — Menlo Park, CA
- [Senior Solution Engineer, Retail & Consumer Goods](https://feeny.ai/job/senior-solution-engineer-retail-consumer-goods-snowflake-chicago-3m7stm4vxfey) — Chicago, IL
- [Senior Technical Program Manager - AppEx](https://feeny.ai/job/senior-technical-program-manager-appex-snowflake-menlo-park-dmn4chvwdetj) — Menlo Park, CA