AI Associate, Office of the CEO

Posted Yesterday
Menlo Park, CA, USA
Hybrid
140K-184K Annually
Junior
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
Let's build a world where data and AI turn possibilities into reality.
The Role
Build and deploy AI agents that automate business workflows, executive reporting, and team operations. Partner with product teams to shape AI capabilities, transform workflows across the company, and provide data-backed insights to the CEO and executive leadership. Define AI-native operating models involving automated reporting, predictive metrics, LLM-driven communications, and agentic workflows.
Summary Generated by Built In

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

  • 1-3 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

Skills Required

  • 1-3 years of professional experience in technology, consulting, or a high-growth environment
  • Demonstrated experience building AI agents, including multi-step agentic workflows, tool-use patterns, and autonomous AI pipelines
  • Strong data fluency, including querying, analyzing, and reasoning about data using SQL, Python, or equivalent
  • First principles thinking and ability to break problems down to fundamentals
  • Exceptional communication skills and ability to translate technical concepts into business impact
  • Clear executive-level writing ability
  • Low ego, high agency, and comfort working across organizational levels
  • Computer science degree or equivalent hands-on technical experience
  • Familiarity with the Snowflake platform and AI Data Cloud ecosystem
  • Public portfolio of AI projects, such as GitHub repositories, shipped products, blog posts, or side projects

Snowflake Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.

  • Fair & Transparent Compensation — Pay is often characterized as top‑of‑market across multiple roles. The company also points to a Fair Pay Workplace certification, signaling externally reviewed pay‑equity practices.
  • Equity Value & Accessibility — Equity is a meaningful part of total compensation, with new‑hire grants, refresh potential, and a discounted ESPP with a favorable lookback. Feedback suggests this ownership component materially boosts perceived total rewards.
  • Leave & Time Off Breadth — Parental leave is described as up to 26 weeks paid in the U.S., paired with flexible or generous PTO and multiple leave types. Family‑building benefits and a dedicated parental‑leave hub further expand support.

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The Company
HQ: Bozeman, MT
9,023 Employees
Year Founded: 2012

What We Do

Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.

Why Work With Us

Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.

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