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.
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
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
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
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
Skills Required
- 5+ years of industry experience in a pre-sales capacity
- 3+ years of direct line management experience, including hiring, training, and retaining talent
- Expertise in data warehousing, business intelligence, data analytics, cloud computing, machine learning, or AI agents
- Hands-on technical skills in databases, data warehousing, ETL, and analytics or data science
- Experience with cloud-based offerings and exposure to at least one major cloud provider
- Outstanding presentation skills for technical and executive audiences, including presentations, demonstrations, and whiteboarding
- Ability to connect customer business problems with Snowflake solutions
- Entrepreneurial experience launching new territories, teams, or initiatives from scratch
- University degree in computer science, engineering, mathematics, or a related field, or equivalent experience
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.
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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.
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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.
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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.
Snowflake Insights
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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