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.
Solution Engineer: Accelerate the AI Data Cloud
We are looking for a Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the accounts sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. As a Snowflake Solution Engineer you must share our passion about driving the AI Data Cloud adoption, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences and bridging the gap between audiences when needed.
YOUR IMPACT (IN THIS ROLE YOU WILL GET TO):
Present Snowflake technology and vision, focusing on the AI Data Cloud and its capabilities, to executives and technical contributors at prospects and customers.
Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation.
Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them.
Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.
YOUR CREDENTIALS (ON DAY ONE, WE WILL EXPECT YOU TO HAVE):
Outstanding presenting skills and executive presence to engage technical, business and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
Broad range of experience within Data platforms, analytics, and cloud technologies, including deep knowledge of data warehousing, data lakes, and lake house architectures.
Proven ability to discuss and demonstrate the value of Generative AI and Machine Learning (ML) use cases for enterprises.
Hands-on experience with modern AI/LLM ecosystems, including Retrieval-Augmented Generation (RAG), and familiarity with open-source frameworks such as LangChain, Hugging Face, or PyTorch, along with a solid understanding of how to work with and deploy Large Language Models (LLMs).
Familiarity with core data concepts such as data modeling, data governance, and data engineering best practices.
Hands-on expertise with Python and SQL.
OUR VALUES. OUR CULTURE.
We are customer-obsessed. We lead with integrity and honesty. We believe in being great teammates, embracing feedback, and embodying the Snowflake values in every interaction. We work to ensure data is accessible, usable, and valuable to everyone.
If this sounds like the high-stakes, high-reward role you were made for, seize the moment. Apply now and join us in building the AI Data Cloud for the region!
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
- Outstanding presenting skills and executive presence
- Broad experience with data platforms, analytics, and cloud technologies
- Deep knowledge of data warehousing, data lakes, and lake house architectures
- Proven ability to discuss and demonstrate Generative AI and ML enterprise use cases
- Hands-on experience with modern AI/LLM ecosystems, including Retrieval-Augmented Generation (RAG)
- Familiarity with LangChain, Hugging Face, or PyTorch and deploying LLMs
- Familiarity with data modeling, data governance, and data engineering best practices
- Hands-on expertise with Python and SQL
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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Equity Value & Accessibility — Equity grants (RSUs) and an ESPP are central to total compensation and are described as highly valuable. Feedback suggests many see equity as a major satisfaction driver with meaningful upside potential.
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Fair & Transparent Compensation — Pay is considered competitive and accompanied by clear communication on salary, equity, and advancement. Feedback suggests pay practices emphasize fairness and transparency.
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Parental & Family Support — Paid parental leave, fertility benefits, adoption assistance, and family planning resources are notably comprehensive. Feedback suggests these programs materially support major life events.
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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