---
title: 'Sales Operations Manager, Planning at Snowflake'
canonical: 'https://feeny.ai/job/sales-operations-manager-planning-snowflake-menlo-park-3dh8gmw7dshj'
type: 'job'
last_seen: '2026-11-06'
---

# Sales Operations Manager, Planning at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Menlo Park, CA
- **Compensation:** $164k–$215k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-08
- **Last confirmed live:** 2026-11-06
- **Apply:** https://jobs.ashbyhq.com/snowflake/6eb0df45-4bbf-430f-9ef3-a5ae82bf978b

## 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's Revenue Operations team is hiring a Sales Operations Manager to own planning operations for our Partner and Product Specialist organizations. In this role, you'll run complex planning workstreams end to end, including territory design, quota setting, capacity planning, and in-year quota management. You'll be the trusted expert that Partner and Specialist leaders come to for methodology, tradeoffs, and decisions. At Snowflake, we are powering the era of the agentic enterprise and we are building an AI-native planning organization. That means AI does the analysis and production work, and you own the judgment and decisions. You'll be expected to turn your expertise into reusable skills, self-service tools, and automated workflows that grow the team's impact.

IN THIS ROLE YOU WILL GET TO:

- Own end-to-end delivery of territories, quotas, and compensation plans for Partner and Specialist organizations across all geographies, and drive alignment with Finance, Commissions, HR, and Field Ops.
- Define and govern global policies for account moves, quota changes, and in-year adjustments, including the methodology, guardrails, documentation, and change management behind them.
- Lead quota and attainment reviews across global Partner and Specialist teams. You'll find root causes, surface tradeoffs, and drive resolution with senior stakeholders.
- Anticipate how changes affect the field, Commissions, reporting, and systems, and design scalable solutions instead of one-time fixes.
- Translate business requirements into process, data, and tooling changes in Pigment, Salesforce, and Snowflake.
- Design workflows that produce decision-ready outputs, with methodology, confidence levels, and edge cases surfaced and validation built in from the start.
- Encode institutional knowledge, such as quota methodology, territory logic, and planning rules, in versioned skills and documentation that capture the why along with the how.
- Build and maintain production AI skills that encode planning methodology, validation logic, and recurring analysis for your domain. If a task runs more than twice, it should be a skill.
- Lead small cross-functional project teams, present recommendations to senior leadership, and drive decisions forward.

ON DAY ONE WE WILL EXPECT YOU TO HAVE:

- 6 to 8+ years of experience in GTM strategy, planning, or sales operations, ideally at a high-growth enterprise technology company.
- A track record of owning complex planning work-streams end to end, such as territory design, quota setting, capacity modeling, or compensation operations.
- Experience solving ambiguous, cross-functional problems where the path isn't defined, especially during periods of rapid growth.
- Strong influence skills with senior stakeholders, including the ability to frame tradeoffs clearly and move a group to a decision.
- Hands-on experience building automated or AI-assisted workflows, such as scripts, bots, AI skills, or self-service tools, that replaced manual work, with the results to show for it (hours saved, errors caught, cycles shortened).
- Deep experience with Salesforce and sales planning platforms such as Pigment or Anaplan.
- A bachelor's degree in business, statistics, economics, or another quantitative field. An MBA is a plus.

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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