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

TL;DR

Senior Manager, Applied Field Engineering - AI/ML Product Specialist: Leading a team of Applied Field Engineers specializing in Generative AI, Machine Learning, and Advanced Analytics with an accent on technical sales engagements and ensuring customers successfully activate and consume Snowflake's AI/ML capabilities. Focus on translating team-level insights into feedback that shapes broader strategy and aligning execution with organizational priorities.

Location: US-NY-New York; US-CA-Menlo Park; US-CO-Denver; US-MA-Boston; US-WA-Bellevue

Salary: $207,000 - $271,688

Company

Snowflake is powering the era of the agentic enterprise, empowering both enterprises and individuals to reach their full potential.

What you will do

• 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.
• Review and provide hands-on guidance on customer architectures to prevent technical debt and ensure scalability.
• 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.
• 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: Ability to drive not just deal closures, but actual activation and usage of software services.
• Technical credibility: 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).

Culture & Benefits

• Culture prioritizes impact, innovation, and collaboration.
• Ideal place to build ambitious projects, execute quickly, and advance technology.
• Scaling team to help enable and accelerate growth.
• Looking for people who share values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.