Snowflake

Solution Engineer

Snowflake
US Menlo Park, CA, US
Onsite 2026-07-01
Announced salary
$138,000 - $181,125
Estimated net pay
$8,090 - $10,212
/month · 30% withheld
after tax & contributions · Single, no dependents

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. Are you passionate about helping organizations unlock the power of AI through modern data architecture? Snowflake is looking for a customer\-facing Solution Engineer who combines strong technical depth with executive presence and a passion for innovation. In this role, you’ll partner with Sales to guide customers from raw data to real AI impact — architecting scalable solutions, delivering compelling demos, and influencing complex buying decisions across executive and technical audiences. LOCATION: CANDIDATE MUST BE AVAILABLE TO WORK OUT OF OUR MENLO PARK OFFICE 2/3 DAYS A WEEK.**WHAT YOU’LL DO** * Lead customer conversations on AI strategy and data modernization. * Design and demonstrate scalable data and AI solutions using SQL and Python. * Support enterprise Proof of Concepts from concept to value realization. * Translate complex technical concepts into measurable business outcomes. * Navigate objections and competitive dynamics in high\-stakes sales cycles. * Leverage AI tools to personalize demos, accelerate preparation, and enhance delivery. **WHAT YOU BRING** * Strong SQL proficiency and experience with modern data warehousing. * Experience using Python for analytics or ML workflows. * Familiarity with AI/ML concepts, including Generative AI and LLMs. *

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