Solutions Engineer - Global Accounts

Role Summary

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.

We are hiring a Solution Engineer dedicated to one of Snowflake's most strategically important financial services customers. This is a named-account role where your entire focus will be a single global financial institution. You will be embedded in the technical relationship from day one, supporting the full sales cycle and post-sale expansion by delivering compelling demonstrations, running proof of concept engagements, and building the technical credibility that underpins every commercial conversation. Working alongside an Account Executive and supported by a Senior Solution Engineer, you will develop deep knowledge of the customer's data environment and use it to uncover and progress new use cases across the organisation.

Responsibilities

AS A SOLUTION ENGINEER AT SNOWFLAKE, YOU WILL

• Support end-to-end technical sales engagements for a single strategic Global Account in financial services, from initial discovery and qualification through proof of concept delivery and technical close
• Build and deliver tailored demonstrations and solution presentations that connect Snowflake's platform capabilities to the customer's specific data challenges and business objectives
• Design and execute proof of concept engagements covering financial services use cases including risk analytics, regulatory data platforms, fraud detection, customer intelligence, and AI/ML workloads
• Develop working knowledge of the customer's existing data architecture, cloud environment, and technology stack to position Snowflake solutions accurately and credibly
• Partner closely with the Account Executive on day-to-day deal activity, preparing technical responses to RFPs, supporting commercial conversations, and helping remove technical blockers
• Coordinate with Snowflake's Professional Services, Support, and Product teams to ensure the customer receives the right resources at the right time
• Build strong working relationships with the customer's data engineers, architects, and technical managers, becoming a reliable and trusted point of contact
• 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 http://careers.snowflake.com

Requirements

OUR IDEAL SOLUTION ENGINEER WILL HAVE

• 5+ years of experience in pre-sales solution engineering, data engineering, or technical consulting in enterprise B2B technology, with exposure to financial services organisations
• Solid understanding of financial services data use cases including risk management, regulatory reporting, fraud analytics, or customer data platforms
• Hands-on experience with cloud data platforms and the ability to build and deliver compelling live demonstrations of complex data solutions
• Proficiency in SQL and Python, with the ability to write and debug scripts, build PoC pipelines, and work comfortably in a technical customer environment
• Clear and confident communication skills, with the ability to translate technical concepts for both engineering and business audiences within a financial institution
• Ability to manage multiple workstreams within a single account, staying organised across an active sales cycle while maintaining strong customer relationships
• Genuine curiosity about AI and data technology, with an eagerness to develop expertise in Snowflake's Cortex AI capabilities and apply them in FSI contexts

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.

About the Company

ABOUT THE AI PRODUCTS TEAM

The AI Products team is part of the broader Marketplace & Collaboration organization and is focused on bringing AI products on top of Snowflake’s data and application platform to help customers discover, share, monetize, and act on data assets & applications more easily.

This team is building the connective tissue of the agentic enterprise: the infrastructure and product surfaces that allow Snowflake customers to seamlessly share datasets, semantic views, and applications, and make them discoverable and executable through Cortex Code, CoWork, and other agentic harnesses.

Our strategy is centered on evolving Snowflake Marketplace for the AI era, including packaging data and intelligence into ready-to-use agentic experiences, and enabling governed access patterns that let AI systems safely operate on enterprise data and applications.

AS A STAFF SOFTWARE ENGINEER ON AI PRODUCTS, YOU WILL

WHY JOIN THIS TEAM

This is a chance to shape how Snowflake customers expose data and applications to AI systems in a secure, governed, and highly usable way. The work sits at the intersection of platform engineering, product innovation, and AI transformation, and it directly influences how the Data Cloud evolves for the next generation of customers and builders.