Senior AI/ML Flex Solution Engineer

Навыки

• After Effects
• Проектирование архитектуры
• База знаний
• Лидерство
• Machine Learning
• MLOps
• Ответственность за результат

О компании и продукте

• At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools. The 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)

Задачи

• AND SCOPE
• TECHNICAL LEADERSHIP & SOLUTIONING
• Partner 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
• CROSS-REGIONAL ENABLEMENT
• 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
• PREFERRED SKILLS AND EXPERIENCE
• 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
• METRICS THAT MATTER
• 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

Требования

• 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
• 2+ years of hands-on experience with AI/ML concepts, such as data preparation, model training (supervised/unsupervised), deployment, and monitoring
• Excellent communication, presentation, and interpersonal skills, with the ability to explain complex technical topics to both technical and non-technical audiences

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