Snowflake
5001 - 10000 employees
Founded 2012
☁️ SaaS
Cloud Computing • Data Analytics • SaaS
Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.
Senior Manager, Applied Field Engineering – AI/ML Product Specialist
🕒 June 2
🏄 California, Colorado, +3 more states – Remote
💵 $207k - $271.7k / year
⏰ Full Time
🟠 Senior
🔧 Field Service Engineer
🦅 H1B Visa Sponsor
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Snowflake
5001 - 10000 employees
Founded 2012
☁️ SaaS
Cloud Computing • Data Analytics • SaaS
Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.
📋 Description
• Manage a team of Applied Field Engineers specializing in Generative AI, Machine Learning, and Advanced Analytics • Drive team performance toward Consumption Activation • Coach AFEs on technical sales engagement best practices • Participate in customer engagements as a player/coach • Aggregate and communicate field insights to senior leadership • Recruit, onboard, and develop a team of Applied Field Engineers • Build a culture of Technical Sales excellence
🎯 Requirements
• 8+ years of industry experience in a pre-sales, technical sales, or technical consulting capacity • 2+ years of people management experience, preferably leading technical overlay or specialist teams • Experience with Consumption-based models • Technical credibility: Hands-on depth in GenAI/LLMs, Machine Learning, Data Engineering, or Cloud Data Architecture • Communication skills: Ability to engage confidently with VP and Director-level stakeholders and translate technical value into business outcomes • Education: University degree in computer science, engineering, mathematics, or related fields (or equivalent experience)
🏖️ Benefits
• Health insurance • 401(k) • Paid time off • Professional development opportunities
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