Senior Manager, Applied Field Engineering - AI/ML

Snowflake
Boston, CA
Job Description
Role Overview

We are seeking a Senior Manager, Applied Field Engineering — AI/ML Product Specialists to lead a high-performing team of AI/ML specialists at the intersection of product, field, and customer success. The role involves managing a team of Applied Field Engineers who are deep practitioners in Snowflake's AI/ML product portfolio, driving product adoption and customer outcomes, and serving as a strategic bridge between the field and Snowflake's product organization.

What You Will Do

Responsibilities include driving team performance toward meaningful product adoption, coaching AFEs to lead with product depth, reviewing customer architectures with a product lens, and actively engaging in strategic customer conversations. You will also own the field-to-product feedback loop for AI/ML, maintain direct relationships with AI/ML Product Management and Engineering counterparts, and partner with Product Marketing to ensure field-facing materials accurately reflect current product capabilities.

Why It Might Be a Fit

The ideal candidate will have 8+ years of experience in technical field roles, 2+ years of people management experience, and deep product intuition. They will also have hands-on AI/ML product expertise, customer outcome orientation, and executive presence.

Requirements

  • 8+ years of experience in technical field roles (pre-sales, solutions engineering, product specialist, or technical consulting) with increasing scope and impact
  • 2+ years of people management experience leading technical specialist or product specialist teams
  • Deep product intuition: demonstrated experience working closely with product management — influencing roadmaps, contributing structured customer feedback, and translating field experience into product requirements
  • Hands-on AI/ML product expertise: practical depth in at least two of the following — Large Language Models / GenAI, ML model development and deployment, MLOps, Snowflake Cortex, or cloud-native AI/ML platforms
  • Customer outcome orientation: ability to drive product adoption and measurable customer value, not just initial activation or deal closure
  • Executive presence: confident engaging VP and Director-level stakeholders on both technical product capabilities and strategic business outcomes
  • University degree in computer science, engineering, mathematics, or a related field (or equivalent experience)

Benefits

  • Salary and benefits information available on the Snowflake Careers Site
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