Principal Solution Engineer

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 Principal Solution Engineer who is accustomed to solving customers' 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: 8-12 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. 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 to be onsite with customers about 30% of the time Snowflake is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. The following represents the expected range of compensation for this role: This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $252,000 - $330,750. The estimated base salary for this role is $189,000 - $248,062. Additionally, this role is eligible to participate in Snowflake's equity plan. The successful candidate's starting salary will be determined based on permissible, non‑discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. #J-18808-Ljbffr Snowflake Computing