The Account Engineer is a high-impact, cross-functional role designed to accelerate the customer journey from initial acquisition to successful platform adoption and expansion on the Snowflake AI Data Cloud. This role bridges the critical gap by helping new and early-stage customers achieve rapid implementation, quick value, and a world-class experience on the Snowflake platform.
Responsibilities
Lead Your Account Micro-Business: Take ownership of the technical success and consumption trajectory within your assigned portfolio, driving adoption metrics in your assigned accounts, acting as a single point of contact for all customer needs.
Driving Outcome-Based Utilisation: Apply an outcome-based selling mindset to customer engagements, focusing on how the Snowflake AI Data Cloud helps them solve complex data challenges and unlock maximum business value—not just product features.
Strategic Advisory and Guidance: Serve as a trusted strategic advisor immediately following the initial contract close, providing guidance on data strategy, technology stack integration, and ensuring a swift, successful activation of Use Cases.
Deliver Technical Value with AI: Deliver technical value efficiently by leveraging cutting-edge AI-powered development tools and automation to accelerate solutions and implementation guidance, helping customers move faster to production.
Architectural Leadership: Provide customers with Snowflake-specific platform guidance, data products and agentic workflows
Requirements
University degree in computer science, engineering, mathematics, or related fields
The Account Engineer is a high-impact, cross-functional role designed to accelerate the customer journey from initial acquisition to successful platform adoption and expansion on the Snowflake AI Data Cloud. This role bridges the critical gap by helping new and early-stage customers achieve rapid implementation, quick value, and a world-class experience on the Snowflake platform.
Responsibilities
Lead Your Account Micro-Business: Take ownership of the technical success and consumption trajectory within your assigned portfolio, driving adoption metrics in your assigned accounts, acting as a single point of contact for all customer needs.
Driving Outcome-Based Utilisation: Apply an outcome-based selling mindset to customer engagements, focusing on how the Snowflake AI Data Cloud helps them solve complex data challenges and unlock maximum business value—not just product features.
Strategic Advisory and Guidance: Serve as a trusted strategic advisor immediately following the initial contract close, providing guidance on data strategy, technology stack integration, and ensuring a swift, successful activation of Use Cases.
Deliver Technical Value with AI: Deliver technical value efficiently by leveraging cutting-edge AI-powered development tools and automation to accelerate solutions and implementation guidance, helping customers move faster to production.
Architectural Leadership: Provide customers with Snowflake-specific platform guidance, data products and agentic workflows
Requirements
University degree in computer science, engineering, mathematics, or related fields
Solution Engineer to work with global accounts in GCCs in India, providing technical expertise and building demos, proofs of concept, and consultative assistance on Snowflake solutions.
Responsibilities
Present Snowflake technology and vision 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
Maintain 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
Be an advocate and develop mutual trust with the technical audience on the customer side
Requirements
University degree in computer science, engineering, mathematics or related fields, or equivalent experience
Nice to have: Data Science/AI/ML experience
Nice to have: BI and data exploration tools (Tableau, PowerBI, Metabase)
Nice to have: Cloud Provider Experience (Amazon AWS/Microsoft Azure/Google Cloud)
Nice to have: data modeling and data architecture experience
