5 days ago
London, United KingdomMid Level
Responsibilities
- Present Snowflake’s technology, vision, roadmap, and functionality to executives, technical contributors, prospects, and customers.
- Demonstrate Snowflake technology and communicate its value throughout the sales cycle, including demos, proofs of concept, design, and implementation.
- Understand customer needs, solve customer-specific business problems, and help account teams and channel partners develop evaluation and account strategies.
- Create technical champions within customer accounts to support deals and achieve technical wins.
- Maintain knowledge of competitive and complementary technologies and position Snowflake appropriately.
- Collaborate with sales engineers, Product Management, Engineering, Marketing, ecosystem partners, and implementation partners.
- Represent Snowflake at industry and customer events and contribute feedback to improve products and marketing.
Requirements
- Experience in sales engineering or solutions architecture in a SaaS environment or relevant industry such as analytics, data science, or data engineering.
- Outstanding presentation skills for technical and executive audiences, including impromptu whiteboarding, presentations, and demonstrations.
- Understanding of data architecture, data analytics, and cloud technology.
- Hands-on experience with SQL.
- Ability to translate Snowflake solutions into answers to customer-specific business problems.
- Strong written and verbal customer-facing communication skills.
- Preferred: hands-on experience with Python.
- Preferred: experience with modern data technologies such as dbt, Spark, containers, DevOps tooling, orchestration tools, and Git.
- Preferred: experience with data science and machine learning technology.
Tech Stack
Categories
Solutions Engineering
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.