---
title: 'Manager, Solution Engineering at Snowflake'
canonical: 'https://feeny.ai/job/manager-solution-engineering-snowflake-brazil-cyshawqs70m2'
type: 'job'
last_seen: '2026-09-18'
---

# Manager, Solution Engineering at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Brazil
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-08
- **Last confirmed live:** 2026-09-18
- **Apply:** https://jobs.ashbyhq.com/snowflake/e596a7db-1eea-4fc9-afc8-e495add1a116

## 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. Location: Brazil There is only one AI Data Cloud. Snowflake’s founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn’t stop there. They engineered Snowflake to power the AI Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow. Our LATAM Solutions Engineering organization is growing again and seeking a Manager of Solutions Engineering to lead a highly skilled team of Solutions Engineers based out of Brazil. In addition to leading a team you will work directly with our sales team and channel partners to understand the needs of our customers, strategize on how to navigate sales cycles and technical wins, provide value-based demonstrations, support POCs, close business, and fuel our LATAM expansion.

IN THIS ROLE YOU WILL GET TO:

- Build and lead a team of sales engineers who serve as our core product introduction, evaluation and education experts
- Partner with sales leadership to achieve regional quota targets, our goals and ensure relationships are built
- Provide guidance to revenue leaders on sales strategy, product obstacles/gaps and represent the team’s needs to executive staff
- Leverage your AI and data analytics skills to find patterns and opportunities to up-level the team, improve tech win rates and continue our expansion across LATAM
- Interpret complex problems, create simple solutions and collaborate closely with prospects, channel partners and our sales team to deliver winning solutions
- Collaborate and maintain a close working relationship with product, engineering, sales, marketing and services
- Play an active role in sourcing and screening potential candidates and managing the interview process
- Act as a player/coach working with your team on and delivering compelling presentations to customers and prospects

ON DAY ONE WE WILL EXPECT YOU TO HAVE:

- 5+ years of industry experience in a pre-sales capacity with 3+ years of direct line management experience (hiring, training and retaining top talent)
- Industry expertise within Data Warehousing, Business Intelligence, Data Analytics and/or Cloud Computing, Machine Learning and AI Agents
- Strong hands-on technical skills within Databases, Data Warehousing, ETL and Analytics/Data Science
- Experience working with cloud-based offerings including exposure to at least one of the major 3 clouds
- Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
- Ability to connect a customer’s specific business problems and Snowflake’s solutions
- Proven entrepreneurial experience having developed and successfully launched new territories and teams or initiatives from scratch
- University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred

## RESPONSIBILITIES:

- In addition to managing a team you will work directly with our sales team and channel partners to understand the needs of our customers, strategize on how to navigate sales cycles, provide value-based demonstrations, support POCs and close business
- Build and lead a team of sales engineers who serve as our core product introduction, evaluation and education experts
- Partner with sales leadership to achieve regional quota targets, our goals and ensure relationships are built
- Provide guidance to revenue leaders on sales strategy, product obstacles/gaps and represent the team’s needs to executive staff
- Leverage your AI and data analytics skills to find patterns and opportunities to up-level the team, improve tech win rates and continue our expansion across LATAM
- Own the Technical Win forecast at the regional level
- Interpret complex problems, create simple solutions and collaborate closely with prospects, channel partners and our sales team to deliver winning solutions
- Collaborate and maintain a close working relationship with product, engineering, sales, marketing and services
- Play an active role in sourcing and screening potential candidates and managing the interview process
- Act as a player/coach working with your team on and delivering compelling presentations to customers and prospects

## ABOUT OUR TEAM:

Our Solutions Engineers are customer obsessed and we believe in the value we can add and stay honest about it. We love to learn, are open to giving and receiving feedback and are passionate about making our clients successful. Our team works to ensure data and AI is accessible, usable and valuable to everyone. 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

- [Staff Software Engineer, Frontier Security Team](https://feeny.ai/job/staff-software-engineer-frontier-security-team-snowflake-menlo-park-s0j1d6rx7y26) — Menlo Park, CA
- [Solutions Architect, Frontier Engineering](https://feeny.ai/job/solutions-architect-frontier-engineering-snowflake-tokyo-sm1dgx3ybzss) — Tokyo, Japan
- [Sales Development Representative](https://feeny.ai/job/sales-development-representative-snowflake-menlo-park-rgxgzwcztf7b) — Menlo Park, CA
- [Staff Software Engineer, Cortex AI Search Infrastructure](https://feeny.ai/job/staff-software-engineer-cortex-ai-search-infrastructure-snowflake-menlo-park-j5d8xyax30bc) — Menlo Park, CA
- [Intermediate/ Senior Software Engineer - Cortex LLM Training Platform](https://feeny.ai/job/intermediate-senior-software-engineer-cortex-llm-training-platform-snowflake-npmnzsyr6rp8) — Bellevue, WA
- [Director, Global Marketing Operations](https://feeny.ai/job/director-global-marketing-operations-snowflake-menlo-park-2j23y8ca32dm) — Menlo Park, CA
- [Senior/Staff System Research Engineer – LLM Inference Optimization](https://feeny.ai/job/senior-staff-system-research-engineer-llm-inference-optimization-snowflake-dwrjfex7daq2) — Bellevue, WA
- [Principal Software Engineer - Performance Engineering (Cloud Infrastructure)](https://feeny.ai/job/principal-software-engineer-performance-engineering-cloud-infrastructure-hr4dbyfrgvq9) — Menlo Park, CA
- [Senior Solution Engineer, Retail & Consumer Goods](https://feeny.ai/job/senior-solution-engineer-retail-consumer-goods-snowflake-chicago-3m7stm4vxfey) — Chicago, IL
- [Senior Technical Program Manager - AppEx](https://feeny.ai/job/senior-technical-program-manager-appex-snowflake-menlo-park-dmn4chvwdetj) — Menlo Park, CA