Senior Solution Engineer, Financial Services at Snowflake
- Pay: $165,000–$216,562 a year.
- Full-time.
- Remote.
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 looking for a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. IN THIS ROLE YOU WILL GET TO: - 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 - Immerse yourself in the ever-evolving industry, maintaining 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 ON DAY ONE WE WILL EXPECT YOU TO HAVE: - 5-7+ years of industry experience with a minimum of 5 years within a pre-sales environment - Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. - 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud. - Possesses a proactive curiosity for the AI landscape, striving to be a visionary and technical thought partner for customers navigating the space. - A proven ability to leverage AI code generation tools to accelerate productivity and efficiency. - Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric - Hands-on expertise with SQL,SQL analytics, and Python. - Ability to connect a customer’s specific business problems and Snowflake’s solutions - Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture. - University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. Masters in DataScience or Business Administration is a plus. - Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required - Expect approximately 30% travel ABOUT OUR TEAM Our Solution Engineers are customer obsessed and we believe in the value we can add and stay honest about it. We love to learn, are open to giving and receiving feedback and are passionate about making our clients successful. Our team works to ensure data is accessible, usable and valuable to everyone. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. …