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About the Role

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.

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.
Maintain a deep understanding of competitive and complementary technologies and vendors.
Position Snowflake effectively in relation to competitive and complementary technologies.
Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.

Requirements

Experience with GSIs (EY, Deloitte, Accenture, etc) would be beneficial.

Skills

Outstanding presenting skills to technical and executive audiences.
Experience building and deploying machine learning and generative AI solutions in the cloud.
Proactive curiosity for the AI landscape.
Ability to be a visionary and technical thought partner for customers navigating the AI space.
Proven ability to leverage AI code generation tools to accelerate productivity and efficiency.
Broad experience with large-scale Database and/or Data Warehouse technology.
Experience with ETL, analytics, and cloud technologies (e.g., Data Lake, Data Mesh, Data Fabric).
Hands-on expertise with SQL.
Hands-on expertise with SQL analytics.
Hands-on expertise with Python.
Ability to connect customer's specific business problems with Snowflake’s solutions.
Ability to perform deep discovery of customer’s architecture framework.
Ability to connect customer architecture with Snowflake Data Architecture.

Work Type

Approximately 30% travel.

Experience Level

6+ years of industry experience.
Minimum of 5 years within a pre-sales environment.
5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.

Education Level

University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.
Masters in DataScience or Business Administration is a plus.

About the Company

Snowflake is powering the era of the agentic enterprise.
We seek AI-native thinkers across every function.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data.
Snowflake employees must abide by the company’s data security plan as an essential part of their duties.
It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast and scaling its team to enable and accelerate growth.
We look for people who share our values, challenge ordinary thinking, and push the pace of innovation.