Senior Solution Engineer Data and AI
Snowflake
Job Overview
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Job Description
About Snowflake and the Role
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture centered on impact, innovation, and collaboration, Snowflake is the perfect place to build, move fast, and propel technology and careers forward.
Role Overview
As a Senior Solution Engineer Data and AI at Snowflake, you will work directly with the sales team and channel partners to solve complex customer problems, deliver compelling value-based demonstrations, and support enterprise Proof of Concepts, leading to closed business.
Responsibilities
- Present Snowflake technology and vision to executives and technical contributors.
- Conduct hands-on demos, POCs, and design implementations.
- Stay updated on competitive and complementary technologies.
- Link technology initiatives with customer business outcomes.
- Collaborate with Product Management, Engineering, and Marketing.
Requirements
- Over 10 years of industry experience with minimum 5 years in consulting and/or pre-sales.
- Outstanding presentation skills for both technical and executive audiences.
- Deep expertise in cloud data platforms, AI/ML, data warehousing, and modern data architecture.
- Hands-on expertise with SQL and/or Python, and strong data modelling skills.
- A relevant university degree or equivalent experience.
Team Culture
Our team is customer obsessed, values honest feedback, and is passionate about making clients successful. We ensure data is accessible, usable, and valuable for everyone.
Key Skills/Competency
- Sales Cycle
- Demonstrations
- POC
- AI/ML
- Cloud
- Pre-Sales
- SQL
- Python
- Data Warehousing
- Collaboration
How to Get Hired at Snowflake
- Research Snowflake's culture: Learn their mission and recent news.
- Customize your resume: Highlight relevant AI and pre-sales experience.
- Showcase demos: Prepare compelling technical presentations.
- Practice interview questions: Focus on technical and business scenarios.
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