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Snowflake is seeking a Senior Solution Engineer for the Manufacturing vertical to drive complex customer engagements and close large deals. You will partner with sales teams and channel partners to understand customer needs, design winning strategies, deliver compelling value-based demonstrations, and support enterprise proof-of-concepts.
In this role, you'll present Snowflake's data platform and vision to C-suite executives and technical teams, work hands-on with prospects through the entire sales cycle (demo to POC to design/implementation), and maintain deep expertise in competitive positioning and emerging technologies like AI/ML and data architecture patterns (Data Lake, Data Mesh, Data Fabric).
You'll collaborate cross-functionally with Product, Engineering, and Marketing to refine Snowflake's offerings and go-to-market strategy. The role requires approximately 30% travel.
Required qualifications: 7–8 years of industry experience with a minimum of 5 years in pre-sales; outstanding presentation skills for both technical and executive audiences; 5+ years building and deploying machine learning and generative AI solutions in the cloud; broad expertise in large-scale database, data warehouse, ETL, and cloud technologies; hands-on SQL, SQL analytics, and Python proficiency; ability to conduct deep customer architecture discovery and connect business problems to Snowflake solutions; proactive curiosity about AI landscapes; proven ability to leverage AI code generation tools; university degree in computer science, engineering, mathematics, or equivalent (Master's in Data Science or MBA preferred); experience with GSIs (EY, Deloitte, Accenture) beneficial but not required.
Snowflake is a cloud-native data platform company reinventing modern data warehousing with innovative architecture combining data warehouse power, big data flexibility, and cloud elasticity at a fraction of traditional costs.
