Snowflake6 days ago
Senior Flex Solution Engineer
Salary not specified
MARKET
15,900 ₽median for this role
Data Scientist · 115 jobs with disclosed pay
5,000half of the offers: 12,796–20,50043,793
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Responsibilities
- 01Partner with regional Account Executives (AEs) and Solution Engineers (SEs) to identify, qualify, and develop AI/ML opportunities within USMajors accounts
- 02Conduct technical presentations, product demonstrations, and workshops focused on our AI/ML portfolio
- 03Architect and prototype foundational AI/ML solutions, including proof-of-concepts (PoCs) that demonstrate clear business value
- 04Serve as the technical bridge between customers and the central AI/ML Product and Engineering teams, synthesizing customer feedback and emerging requirements
- 05Maintain a current understanding of the competitive landscape and industry trends in AI/ML, advising internal teams and customers accordingly
- 06Drive sales acceleration through AI-assisted hands-on-keyboard development, creating Minimum Viable Products (MVPs) and functional prototypes that quickly demonstrate platform capability and time-to-value
- 07Lead the rapid technical build of customized AI/ML prototypes to secure technical wins and directly influence incremental consumption for the region
- 08Provide direct technical support and capacity augmentation for regional SE teams engaged in complex or specialized AI/ML sales cycles
- 09Develop and deliver AI/ML training materials and technical guidance to upskill the broader USMajors SE organization
- 10Document successful solution patterns and best practices, contributing to a centralized knowledge base for regional SE reuse
- 11Travel up to 30-40% of the time to support critical customer engagements across the assigned regions
Requirements
- 012+ years of hands-on experience with AI/ML concepts, such as data preparation, model training (supervised/unsupervised), deployment, and monitoring
- 02Ability to translate this experience directly into how Snowflake can help advance the customer’s AI/ML initiatives
- 03Technical Depth: Possesses Level 200-300 knowledge of AI/ML: capable of designing robust solutions, discussing common algorithms and frameworks, and implementing standard MLOps pipelines
- 04Excellent communication, presentation, and interpersonal skills, with the ability to explain complex technical topics to both technical and non-technical audiences
What we offer
- 01Travel up to 30-40% of the time to support critical customer engagements across the assigned regions
- 02Performance measured by Blended Attainment: 60% tied to incremental consumption for the region and 40% tied to TACV bookings for the region
- 03Performance measured by % Increase YoY in AI/ML Revenue: 100% year-over-year growth in AI/ML revenue across USMajors
- 04Performance measured by AI/ML Use Case Tech Wins ($ and Volume): Measured by use cases the Flex SE is tagged to
- 05Performance measured by AI/ML Use Case Go-Lives ($ and Volume): Measured by use cases the Flex SE is tagged to
- 06Performance measured by Regional Technical Proficiency in AI/ML: Measured by AI/ML technical proficiency for SE Generalists at the start of the year compared to end of year
- 07Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data
- 08Snowflake employees must abide by the company’s data security plan as an essential part of their duties
- 09It is every employee's duty to keep customer information secure and confidential