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 built on a culture of impact and innovation. We are looking for a Solution Engineer who is ready to solve complex data challenges and help enterprises realize the full potential of the AI Data Cloud.
In this role, you will partner with account teams to understand customer needs, strategize on technical evaluations, and demonstrate why Snowflake is the premier platform for the AI and data frontier.
The RolePresent & Vision-Set: Deliver Snowflake’s technology story to everyone from technical contributors to C-suite executives.
Hands-on Proof: Conduct deep-dive demos and Proofs of Concept (POCs) that translate features into tangible business value.
Healthy Consumption: Act as a trusted advisor to ensure customers are using Snowflake efficiently and effectively, driving long-term value and sustainable growth.
Strategic Partnership: Collaborate with Solution Engineers, Product, and Engineering teams to drive technical wins and refine our product roadmap.
Market Mastery: Stay at the cutting edge of the industry, positioning Snowflake effectively against competitive and complementary technologies.
Although it is a huge plus, we don’t require prior Solution Engineering experience for this level of role. Instead, we are looking for the right traits, hunger, and a specific "X Factor" that sets you apart.
The X Factor: You bring a unique technical edge. This could be hands-on AI/ML expertise (building models, LLMs, or neural networks) or significant hands-on experience with Snowflake or similar platforms.
Coach-ability: You are humble, hungry to learn, and thrive on constructive feedback. However not afraid to speak up.
Curiosity: You are a natural "student of the game" who obsessively follows the latest trends in AI, data architecture, and cloud ecosystems.
Communication: You can bridge the gap between deep technical code and high-level business strategy.
Technical Foundation: Proficiency in SQL is required. Familiarity with Python or modern data stacks (dbt, Spark, Git) is a major plus.
Impact: You aren't just selling software; you are architecting the AI Data Cloud, enabling organizations to mobilize data with near-unlimited scale and performance.
Growth: We provide the mentorship to turn your technical skills into a world-class Solution Engineering career.
Culture: We value big thinkers who challenge the status quo, move fast, and are "All In" on customer success.
Think you have the "X Factor" but don't tick every traditional box?
Apply anyway. We want to see what you can build.
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
- Proficiency in SQL
- Familiarity with Python
- Experience with modern data stack tools (dbt, Spark, Git)
- Hands-on AI/ML expertise (building models, LLMs, or neural networks)
- Hands-on experience with Snowflake or similar platforms
- Strong communication skills to connect technical details with business strategy
- Coachability, curiosity, and ability to learn rapidly
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 considered competitive across many roles, and the company highlights structured practices aimed at pay equity. Total compensation is often described as strong at senior levels when equity and bonuses are included.
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Equity Value & Accessibility — Equity grants and an ESPP are standard, making ownership accessible and a meaningful part of total rewards. New-hire RSUs and ongoing equity alongside bonus/commission programs are emphasized.
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Healthcare Strength — Comprehensive medical coverage is offered with programs like Lyra providing up to 25 no-cost therapy/coaching sessions, alongside HSA-eligible plans. Wellness resources and additional clinical programs (such as Omada for certain conditions) broaden the scope of 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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