Senior Manager, Applied Field Engineering – AI/ML Product Specialist
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Job Description
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.
Responsibilities:
- 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:
- 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:
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
- Bonuses
- Stock options
- Equipment allowances
- Wellness programs
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