Solutions Engineer - ML in London

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 possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. 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.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 closeBuild and deliver tailored demonstrations and solution presentations that connect Snowflake's platform capabilities to the customer's specific data challenges and business objectivesDesign and execute proof of concept engagements covering financial services use cases including risk analytics, regulatory data platforms, fraud detection, customer intelligence, and AI/ML workloadsDevelop working knowledge of the customer's existing data architecture, cloud environment, and technology stack to position Snowflake solutions accurately and crediblyPartner closely with the Account Executive on day-to-day deal activity, preparing technical responses to RFPs, supporting commercial conversations, and helping remove technical blockersCoordinate with Snowflake's Professional Services, Support, and Product teams to ensure the customer receives the right resources at the right timeBuild strong working relationships with the customer's data engineers, architects, and technical managers, becoming a reliable and trusted point of contactOUR 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 organisationsSolid understanding of financial services data use cases including risk management, regulatory reporting, fraud analytics, or customer data platformsHands-on experience with cloud data platforms and the ability to build and deliver compelling live demonstrations of complex data solutionsProficiency in SQL and Python, with the ability to write and debug scripts, build PoC pipelines, and work comfortably in a technical customer environmentClear and confident communication skills, with the ability to translate technical concepts for both engineering and business audiences within a financial institutionAbility to manage multiple workstreams within a single account, staying organised across an active sales cycle while maintaining strong customer relationshipsGenuine curiosity about AI and data technology, with an eagerness to develop expertise in Snowflake's Cortex AI capabilities and apply them in FSI contextsSnowflake 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.