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Snowflake

Senior Manager, Applied Field Engineering – AI/ML Product Specialist

Snowflake

Manage a high-performing team of Applied Field Engineers specialized in Generative AI and Machine Learning. Oversee technical sales engagements and guide teams to activate Snowflake's AI/ML capabilities.

Posted 4/25/2026full-timeRemote • California, Colorado, Massachusetts, New Jersey, Washington • 🇺🇸 United StatesSenior💰 $207,000 - $271,688 per yearWebsite

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Manage a team of Applied Field Engineers who specialize in Generative AI, Machine Learning, and Advanced Analytics
  • Drive team performance toward Consumption Activation — ensuring customers successfully move workloads into production and realize contracted credit value
  • Coach AFEs on technical sales engagement best practices, helping them identify and prioritize high-impact opportunities
  • Actively participate in customer engagements as a player/coach, modeling excellence in architectural discussions and executive-level conversations
  • Aggregate and communicate field insights to senior leadership; surface recurring product gaps and customer blockers to inform roadmap discussions
  • Partner with Sales leadership to ensure technical resources are aligned to regional pipeline and key account priorities
  • Recruit, onboard, and develop a team of Applied Field Engineers, with a focus on technical growth and performance management

Requirements

What you’ll need
  • 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
  • Hands-on depth in at least one of the following: 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

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development
  • Bonuses
  • Stock options
  • Equipment allowances
  • Wellness programs

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Generative AIMachine LearningAdvanced AnalyticsData EngineeringCloud Data ArchitectureConsumption-based modelsTechnical sales engagementPerformance managementArchitectural discussionsTechnical consulting
Soft Skills
CoachingCommunicationLeadershipTeam managementStakeholder engagementPerformance managementCustomer engagementInsight aggregationProblem-solvingPrioritization