---
title: 'Engineering Manager at Snowflake'
canonical: 'https://feeny.ai/job/engineering-manager-snowflake-menlo-park-hcb2t29d5htr'
type: 'job'
last_seen: '2026-09-11'
---

# Engineering Manager at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Menlo Park, CA
- **Compensation:** $236k–$339k
- **Employment:** full-time
- **Posted:** 2026-09-10
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/snowflake/906a4bc8-b5f6-4a35-bf97-fa6d9e694893

## 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.

Snowflake is reimagining what a modern Postgres experience can be. The Snowflake Postgres team is building a fully managed, cloud-native Postgres service that delivers the reliability, performance, and scale developers expect that is paired with a data experience that seamlessly ties into Snowflake. As an Engineer Manager, you'll help define the architecture, push the boundaries of Postgres in the cloud, and shape one of Snowflake's most strategic new products

AS AN ENGINEERING MANAGER AT SNOWFLAKE YOU WILL:

- Provide strong technical leadership across both the Postgres dataplane and the orchestration/control plane required to deliver a managed service (HA, upgrades, backups, scaling, automation, and operational safety).
- Break problems down and build consensus across multiple parties to reach solutions that are scalable, tractable, and timely.
- Function as both a problem solver and a problem finder by building the roadmap while delivering it.
- Leverage your experience to balance long-term thinking with more immediate business needs.
- Understand trade-offs between consistency, performance, scaling limits, and costs to build solutions which can meet the demands of rapidly growing services.
- Ensure operational readiness of the services and meet the commitments to our customers regarding durability, availability, performance, and security.
- Solve real business needs at large scale by applying your software engineering and analytical problem solving skills.

OUR IDEAL ENGINEERING MANAGER WILL HAVE:

- 10+ years of experience building and operating large-scale systems (distributed systems, databases, or cloud services).
- 3+ years of experience building, managing, and leading high-performing engineering teams (and experience leading managers is a strong plus).
- Strong track record of delivering large-scale, resilient systems and services in production.
- Significant experience in cloud environments (AWS, Azure, and/or GCP) and building services with high availability and operational rigor.
- Strong communication and collaboration skills, with the ability to drive cross-functional alignment and influence across org boundaries.
- Strong hands-on technical ability; comfortable navigating complex codebases and diving deep into system design and implementation.
- BS/MS in Computer Science or related majors, or equivalent experience.
- Postgres depth: experience with Postgres as an end user, operator, or administrator; strong understanding of database fundamentals and tradeoffs (consistency, performance, scaling limits, cost).
- OR
- Love of Postgres. You have worked with Postgres as an end user or administrator. You have a solid understanding of database fundamentals.

WHY JOIN THE ENGINEERING TEAM AT SNOWFLAKE?

- Build an industry-leading Cloud Data and AI Platform.
- Solve challenging technical problems related to security, parallel and distributed systems, programming, resource management, large-scale system maintenance, and more!
- Work closely with our customers & partners, understand their use cases & needs, think strategically to seek the right problem to solve at the right time, and innovate with rigor.
- Join a world-class team of both industry veterans and rising stars.

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

- [Software Engineer](https://feeny.ai/job/software-engineer-snowflake-warsaw-rk93stde6gfz) — Warsaw, Poland
- [Strategic Account Executive, Majors Acquisition](https://feeny.ai/job/strategic-account-executive-majors-acquisition-snowflake-texas-z28sj7wdvvq8) — Texas, United States
- [Staff Technical Program Manager - Security](https://feeny.ai/job/staff-technical-program-manager-security-snowflake-menlo-park-wq8j55r9qq5p) — Menlo Park, CA
- [Senior Manager, Technical Program Management - Security](https://feeny.ai/job/senior-manager-technical-program-management-security-snowflake-menlo-park-94cf3wxj9d56) — Menlo Park, CA
- [Principal Software Engineer - Semantic Views](https://feeny.ai/job/principal-software-engineer-semantic-views-snowflake-menlo-park-rsztyc80kfn7) — Menlo Park, CA
- [Solution Engineer](https://feeny.ai/job/solution-engineer-snowflake-colombia-3cf4hpmqq9ye) — Colombia
- [Senior/Staff Software Engineer – LLM Inference & Reinforcement Learning  Platform](https://feeny.ai/job/senior-staff-software-engineer-llm-inference-reinforcement-learning-platform-dwrjfex7daq2) — Bellevue, WA
- [Services Solutions Manager](https://feeny.ai/job/services-solutions-manager-snowflake-united-kingdom-f5bh8de9z9m1) — United Kingdom
- [Account Executive](https://feeny.ai/job/account-executive-snowflake-helsinki-wxb5sh46d89y) — Helsinki, Finland
- [Analytics Engineer - Finance](https://feeny.ai/job/analytics-engineer-finance-snowflake-pune-074s7zey5k66) — Pune, India