---
title: 'Senior Manager - AI for Engineering Systems at Snowflake'
canonical: 'https://feeny.ai/job/senior-manager-ai-for-engineering-systems-snowflake-bellevue-x5e2mx9shd09'
type: 'job'
last_seen: '2026-10-16'
---

# Senior Manager - AI for Engineering Systems at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Bellevue, WA
- **Compensation:** $264k–$380k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-05
- **Last confirmed live:** 2026-10-16
- **Apply:** https://jobs.ashbyhq.com/snowflake/60dbe8f9-4b0f-4edf-818d-f069d9323171

## 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.

We are hiring a rock star leader for our ES AI team. This team plays a crucial part in transforming how the Snowflake product is developed, evaluated and supported. The job is no less than building the ecosystem that powers our AI-pilled engineers and our agentic organizations and reinvents the SDLC for Snowflake.

As the manager for this growing team, you will lead the group of engineers working to reinvent how code is written, reviewed and runs in production to usher scale and velocity for the AI era. With context as the new source code, you will make it possible for every engineer at Snowflake to deliver through intent and direction.

In this role, you will:

- Lead, coach, and grow the while creating a high-energy, cohesive environment with strong planning, ownership, and career development.
- Deliver the vision and roadmap for transforming the SDLC for all Snowflake engineers.
- Drive measurable improvements in code review latency, ensure Snowflake developers can use the latest harnesses and models, and create the golden paths that agentic codebases are built upon.
- Act as an agent of clarity in a space that is moving fast, making high quality decisions quickly by keeping up with the latest developments in the industry.
- Own operational excellence for the area, including on-call health, incident response, postmortems, and balancing project delivery with ongoing maintenance and support work.

Our ideal candidate will have:

- 15+ years of software engineering experience
- 5+ years of experience leading a technical engineering team with a strong mix of people leadership, roadmap ownership, and hands-on technical judgment.
- Demonstrated hands-on experience working with the latest AI tools, particularly in the productivity space.
- Excellent written and verbal communication skills, with the ability to align stakeholders, secure buy-in, and bring clarity to ambiguous, cross-functional work.
- A pragmatic, customer-obsessed mindset and a bias for measurable impact through reliability, performance, and ease of use.
- Bonus points for experience with developer productivity tooling, AI-assisted engineering workflows, and modern CI/test platform modernization efforts.

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

- [Incident Response Engineer](https://feeny.ai/job/incident-response-engineer-snowflake-bay-area-jqa55c6gc1cs) — Bay Area, CA
- [Enterprise Account Executive (Telco)](https://feeny.ai/job/enterprise-account-executive-telco-snowflake-tokyo-trj2h30qa5h3) — Tokyo, Japan
- [Staff Software Engineer — Engineering Systems, Continuous Integration](https://feeny.ai/job/staff-software-engineer-engineering-systems-continuous-integration-snowflake-h2940jng26sc) — Bellevue, WA
- [Enterprise Account Executive](https://feeny.ai/job/enterprise-account-executive-snowflake-jakarta-30gzv9k1hzs9) — Jakarta, Indonesia
- [People Systems Analyst](https://feeny.ai/job/people-systems-analyst-snowflake-dublin-vgnrhrqe0h3t) — Dublin, CA
- [Software Engineer — Engineering Systems, Continuous Integration](https://feeny.ai/job/software-engineer-engineering-systems-continuous-integration-snowflake-bellevue-qj1ggt0n8p4d) — Bellevue, WA
- [Principal Forward Deployed Engineer II, Frontier Engineering](https://feeny.ai/job/principal-forward-deployed-engineer-ii-frontier-engineering-snowflake-menlo-park-kbdnwf9dh7ek) — Menlo Park, CA
- [Principal Forward Deployed Engineer I, Frontier Engineering](https://feeny.ai/job/principal-forward-deployed-engineer-i-frontier-engineering-snowflake-menlo-park-wzb965xmsew9) — Menlo Park, CA
- [Senior Solution Engineer - GCC](https://feeny.ai/job/senior-solution-engineer-gcc-snowflake-bangalore-rk8h5367fa0c) — Bangalore, India
- [Enterprise Account Executive, Observability](https://feeny.ai/job/enterprise-account-executive-observability-snowflake-seattle-ds17m2fbsd2c) — Seattle, WA