---
title: 'AI Associate, Office of the CEO at Snowflake'
canonical: 'https://feeny.ai/job/ai-associate-office-of-the-ceo-snowflake-menlo-park-2p5q6h95fhb7'
type: 'job'
last_seen: '2026-11-06'
---

# AI Associate, Office of the CEO at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Menlo Park, CA
- **Compensation:** $140k–$184k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-12
- **Last confirmed live:** 2026-11-06
- **Apply:** https://jobs.ashbyhq.com/snowflake/88348d29-0ec4-475f-a54e-c6b247cbc6a8

## 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.

Are you the kind of person who gets satisfaction from automating many aspects of your work and non-work life? Are you able to do this while finding the time to still keep great human connections? We are looking for an AI-native, first principles thinker who will work alongside our CEO and ELT members to drive change one project and one team at a time across Snowflake. Working closely with our product teams, you will help us reimagine what is possible today and what should be built for tomorrow. Significant experience building AI agents of various kinds is a requirement, as is a solid grasp of data and analysis. Software engineering experience is a plus but not strictly necessary. This position is based in Menlo Park, CA

## WHAT YOU WILL DO

- Build AI agents that solve real business problems. You will design, build, and deploy agents across Snowflake functions — from automating executive reporting to creating tools that help sales, marketing, and engineering teams work at 10x speed.
- Partner with product teams to shape what gets built. You will be embedded with our product organization, providing first-hand signal on what works and what's missing. Your day-to-day usage of Snowflake's own AI capabilities will directly inform the product roadmap.
- Drive transformation one team at a time. Rather than writing strategy decks, you will sit with a team, understand their workflows, and build AI-powered solutions that change how they operate — then move to the next.
- Serve as a thought partner to the CEO and executive team. You will use AI tools to stress-test strategies, surface insights from data, and provide data-backed perspectives in real-time. This is a seat at the table for someone early in their career.
- Set the standard for AI-native operations. You will define and demonstrate what an AI-powered operating model looks like at Snowflake — automated reporting, predictive metrics, LLM-driven communications, agentic workflows — and help scale it across the company.

## WHAT WE ARE LOOKING FOR

Required

- 2-5 years of professional experience in technology, consulting, or a high-growth environment
- Demonstrated experience building AI agents — not just using ChatGPT, but designing multi-step agentic workflows, tool-use patterns, and AI pipelines that run autonomously
- Strong data fluency: comfortable querying, analyzing, and reasoning about data (SQL, Python, or equivalent)
- First principles thinking: you break problems down to fundamentals and rebuild from there, rather than relying on playbooks
- Exceptional communication: you can translate technical concepts into business impact and write clearly for an executive audience
- Low ego, high agency: you are comfortable operating behind the scenes, picking up whatever needs doing, and working across every level of the organization
- Computer science degree or equivalent hands-on technical experience

## Preferred

- Familiarity with the Snowflake platform and the AI Data Cloud ecosystem
- A public portfolio of AI projects — GitHub repos, shipped products, blog posts, or side projects that demonstrate your builder instinct

## WHY THIS ROLE

This role is a career catapult. You will gain a decade's worth of executive experience in a fraction of the time. You will be at the center of the AI revolution, helping to steer one of the most important data companies in the world — not from the sidelines, but by building the tools and systems that change how we operate.

If you are the kind of person who has already automated half your life and is looking for a bigger canvas, we want to talk to you.

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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- [Principal Software Engineer - Observability](https://feeny.ai/job/principal-software-engineer-observability-snowflake-menlo-park-1haf6vtfhmm3) — Menlo Park, CA
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