Note: The job is a remote job and is open to candidates in USA. Snowflake is a software company focused on cloud data platforms and AI-native enterprise solutions. The Senior Solution Engineer, Financial Services, partners with sales teams and channel partners to present Snowflake technology, support enterprise proof of concepts, demonstrate value throughout sales cycles, and close business. The role also requires advising executives and technical stakeholders on data, machine learning, generative AI, and cloud architectures.
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, 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
Skills
- 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
- Expect approximately 30% travel
- 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
Benefits
- Eligibility to participate in Snowflake's commission plan
- Eligibility to participate in Snowflake’s equity plan
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Disability insurance
- 401(k) retirement plan
- Flexible spending account
- Health savings account
- At least 12 paid holidays
- Paid time off
- Parental leave
- Employee assistance program
Company Overview
Company H1B Sponsorship