---
title: 'Software Engineer (AI-Native), Database Engineering at Snowflake'
canonical: 'https://feeny.ai/job/software-engineer-ai-native-database-engineering-snowflake-menlo-park-beb31txjpss8'
type: 'job'
last_seen: '2026-09-18'
---

# Software Engineer (AI-Native), Database Engineering at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Menlo Park, CA
- **Compensation:** $160k–$230k
- **Employment:** full-time
- **Posted:** 2026-05-27
- **Last confirmed live:** 2026-09-18
- **Apply:** https://jobs.ashbyhq.com/snowflake/073c91f2-0758-4544-9297-3f48a81fb04d/application

**Skills:** Python, Typescript, Go, AI feature development, Agentic workflows, Prompt engineering, Tool engineering, Evaluation pipelines, Function calling, Tool schemas, Guardrails, Agent teams, Verification and repair, Data engineering pipelines, dbt, Airflow, Data modeling, Data analysis, Retrieval systems, Semantic layers

> Join the core database engineering team to build agentic workflows and AI-native features for Snowflake's database products. You will own the full AI engineering lifecycle, including design, evaluation, and deployment, while collaborating with product and infrastructure teams to accelerate roadmap cycles.

## 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 ROLE :

You will work on critical business initiatives in the core database engine, bringing an AI-first approach to software development to accelerate roadmap cycles and deliver greater customer impact. Your work will directly impact how developers and businesses build with data. You'll own features end-to-end while applying AI-native engineering practices across design, implementation, evaluation, deployment, measurement, and optimization. You will thrive here if you are comfortable working in a fast-moving environment with short feedback loops, ambiguity, and a high bar for execution. We value people who take problems through completion, going beyond prototypes to deliver reliable, observable solutions with measurable outcomes.

AS A SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL:

- Own features end-to-end for Snowflake Database Engineering products, from design and implementation through testing, deployment, and production operations.
- Design and build reliable, scalable systems for complex database and data platform workloads, with a focus on performance, correctness, and operability.
- Lead the adoption of modern AI-driven development practices, using coding agents, automated verification, and continuous benchmarking to build higher-quality software at speed.
- Partner with product and infrastructure teams to translate customer and engineering problems into robust product capabilities and production-ready systems.
- Work with a highly experienced team of engineers to build and evolve core Snowflake products.

OUR IDEAL SOFTWARE ENGINEER WILL HAVE:

- Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field. Master’s or higher degree preferred, but not required.
- 2+ years of software engineering experience building and operating complex production systems.
- Solid distributed systems fundamentals, with exposure to areas such as distributed execution, storage systems, concurrency, fault tolerance, performance optimization, or large-scale data processing.
- Strong hands-on experience with AI coding agents, including advanced use across the software development lifecycle and strong intuition for model strengths, failure modes, and limitations.
- Proficiency in one or more programming languages such as C++, Java, Go, Rust or Python.
- Strong communication skills and ability to collaborate effectively across engineering and product teams.

## Preferred Qualifications

- Power user of modern coding agents who goes beyond adoption by systematically measuring their effectiveness, identifying failure modes, and improving their use in engineering workflows.
- Familiarity with database internals, including query languages, compilation, query optimization or execution, semantic layers, or large-scale storage and retrieval systems.

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

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