← All roles

Sr Manager, Applied Field Engineering - AI/ML

Snowflake Inc.· Solution Engineering
Apply on company site
US-CA-Menlo Park, US-NY-New York, US-MA-Boston$207k - $271.7kFull-timePosted 2mo ago

About the role

Senior leadership role leading a team of AI/ML specialists at the intersection of product, field, and customer success to drive adoption and customer outcomes for Snowflake's AI/ML capabilities.

Responsibilities

  • Drive team performance toward meaningful product adoption — ensuring customers successfully build and scale AI/ML workloads on Snowflake and realize measurable business outcomes
  • Coach AFEs to lead with product depth, helping customers understand how Snowflake's AI/ML capabilities map to their use cases and data strategy
  • Review customer architectures with a product lens, guiding teams toward patterns that maximize long-term platform value and minimize technical debt
  • Actively engage in strategic customer conversations as a player/coach, modeling how to position Snowflake's AI/ML products against customer requirements and competitive alternatives
  • Own the field-to-product feedback loop for AI/ML: systematically gather, synthesize, and prioritize customer insights, product gaps, and adoption blockers from your team
  • Maintain direct relationships with AI/ML Product Management and Engineering counterparts — bring structured field signal into roadmap discussions and represent customer needs in product planning
  • Partner with Product Marketing to ensure field-facing materials accurately reflect current product capabilities, and flag gaps where messaging and product reality diverge
  • Participate in product beta programs, early access initiatives, and design partnerships — positioning your team and strategic customers as input sources for new AI/ML features
  • Partner with Sales leadership to align technical resources to pipeline and key account priorities where product depth is the differentiating factor
  • Recruit, onboard, and develop a team of Applied Field Engineers with exceptional AI/ML product depth
  • Build a team culture where AFEs are recognized as product experts and trusted advisors
  • Conduct regular 1:1s, provide ongoing feedback, and invest actively in each AFE's technical and product knowledge development
  • Run internal enablement to keep the team current on evolving AI/ML product surface, including new Cortex capabilities, agent frameworks, and ML platform features

Qualifications

  • 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)

Skills

Required:AI/ML product depthProduct management collaboration
Last updated Aug 20, 2026. Interested? Apply on the company site.

About Snowflake Inc.

The Data Platform Built for Data Teams.

Snowflake powers AI, data engineering, applications, and analytics on a trusted, scalable AI Data Cloud—eliminating silos and accelerating innovation.

AIData CloudData EngineeringAnalyticsApplications & Collaboration
Company profileWebsite

More open roles at Snowflake Inc.