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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in presenting Snowflake technology to diverse audiences, leveraging extensive experience in pre-sales environments and proficiency in machine learning and AI solutions. Capable of connecting customer business challenges with Snowflake's data architecture and ensuring data security and confidentiality.
Highest-signal resume keywords
Pre-Sales ExperienceMachine Learning SolutionsSQL ExpertiseData Warehouse TechnologyPresentation Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningGenerative AISQLSQL AnalyticsPythonETLData AnalyticsDatabase TechnologyCloud TechnologiesData Architecture
Soft Skills
Proactive CuriosityProblem SolvingCollaborationCommunication
Tools & Technologies
SnowflakeAI Code Generation Tools
Industry Keywords
Pre-SalesData SecurityCustomer DiscoveryCompetitive AnalysisGSI Experience
Tech Stack
Tools & technologiesCloudETLPythonSQL
About the role
Key responsibilities & impact- Present Snowflake technology and vision to executives and technical contributors at prospects and customers
- Work hands-on with prospects and customers throughout the sales cycle, from demonstrations to proof of concept to design and implementation
- Solve customers’ complex problems and support closing large deals
- Work directly with the sales team and channel partners to understand customer needs and strategize winning sales cycles
- Maintain a deep understanding of competitive and complementary technologies and vendors and position Snowflake accordingly
- Collaborate with Product Management, Engineering, and Marketing to improve Snowflake products and marketing
- Help ensure data is accessible, usable, and valuable to everyone
- Keep customer information secure and confidential
Requirements
What you’ll need- 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
- 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud
- Proactive curiosity for the AI landscape and ability to be a visionary and technical thought partner
- Proven ability to leverage AI code generation tools
- Broad experience with large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies
- Hands-on expertise with SQL, SQL analytics, and Python
- Ability to connect customer business problems with Snowflake solutions
- Ability to perform deep discovery of customer architecture frameworks and connect them with Snowflake Data Architecture
- University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred
- Experience with GSIs such as EY, Deloitte, or Accenture beneficial but not required
- Approximately 30% travel
- Ability to comply with Snowflake confidentiality and security standards
- For U.S. employment, authorization to work in the United States is addressed in the application requirements