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SummaryThe AI/ML Flex Solution Engineer (SE) is a high-impact, customer-facing technical role supporting AI/Machine Learning (AI/ML) initiatives across our strategic US Major Accounts. This role is designed for a technical professional who possesses a strong foundation in AI/ML concepts, technologies, and solution architecture, positioning them above a generalist but not necessarily requiring deep specialization (Level 200-300 technical depth). The Flex SE will act as a critical, hands-on technical resource, accelerating customer adoption and success. This role translates business challenges into AI/ML- driven solutions through the rapid development of MVPs and prototypes, supporting our regional SE teams, and driving growth in this strategic area. The AE and SE maintain ownership and ultimate approval over the account strategy. The Flex SE role is designed to be supportive, not to supersede their authority. The RVP should provide prescriptive guidance on which accounts the Flex SE should prioritize, as the RVP possesses the most comprehensive regional overview.
Key Responsibilities and ScopeTechnical Leadership & SolutioningPartner with regional Account Executives (AEs) and Solution Engineers (SEs) to identify, qualify, and develop AI/ML opportunities within USMajors accounts. The direction of which account teams to partner with should come from the RVP.
Conduct technical presentations, product demonstrations, and workshops focused on our AI/ML portfolio (e.g., platforms, services, and MLOps tools).
Architect and prototype foundational AI/ML solutions, including proof-of-concepts (PoCs) that demonstrate clear business value.
Serve as the technical bridge between customers and the central AI/ML Product and Engineering teams, synthesizing customer feedback and emerging requirements.
Maintain a current understanding of the competitive landscape and industry trends in AI/ML, advising internal teams and customers accordingly.
Drive 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.
Lead the rapid technical build of customized AI/ML prototypes to secure technical wins and directly influence incremental consumption for the region.
Provide direct technical support and capacity augmentation for regional SE teams engaged in complex or specialized AI/ML sales cycles.
Develop and deliver AI/ML training materials and technical guidance to upskill the broader USMajors SE organization.
Document successful solution patterns and best practices, contributing to a centralized knowledge base for regional SE reuse.
Travel up to 30-40% of the time to support critical customer engagements across the assigned regions.
2+ years of hands-on experience with AI/ML concepts, such as data preparation, model training (supervised/unsupervised), deployment, and monitoring. Ability to translate this experience directly into how Snowflake can help advance the customer’s AI/ML initiatives.
Technical Depth: Possesses Level 200-300 knowledge of AI/ML: capable of designing robust solutions, discussing common algorithms and frameworks, and implementing standard MLOps pipelines.
Excellent communication, presentation, and interpersonal skills, with the ability to explain complex technical topics to both technical and non-technical audiences.
The performance of the Flex SE will be measured primarily based on their direct contribution to accelerating and growing our AI/ML business within the USMajors sector. Our current annual run rate as a business is about $1.8 billion, with AI/ML contributing 2% of that.
Blended Attainment: 60% tied to incremental consumption for the region and 40% tied to TACV bookings for the region
% Increase YoY in AI/ML Revenue: 100% year-over-year growth in AI/ML revenue across USMajors. Some Flex SEs may be subject to doing more than 100% and others less than 100% depending on need/feasibility.
AI/ML Use Case Tech Wins ($ and Volume): Measured by use cases the Flex SE is tagged to
AI/ML Use Case Go-Lives ($ and Volume): Measured by use cases the Flex SE is tagged to
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
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
Snowflake Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.
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Equity Value & Accessibility — Equity grants (RSUs) and an ESPP are central to total compensation and are described as highly valuable. Feedback suggests many see equity as a major satisfaction driver with meaningful upside potential.
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Fair & Transparent Compensation — Pay is considered competitive and accompanied by clear communication on salary, equity, and advancement. Feedback suggests pay practices emphasize fairness and transparency.
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Parental & Family Support — Paid parental leave, fertility benefits, adoption assistance, and family planning resources are notably comprehensive. Feedback suggests these programs materially support major life events.
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