Senior Manager, Applied Field Engineering – AI/ML

• Lead a high-performing team of Applied Field Engineers within the Applied Field Engineering organization




• Coach the team through technical sales engagements




• Drive execution excellence and customer activation and consumption of Snowflake AI/ML capabilities




• Ensure customers move workloads into production and realize contracted credit value




• Coach AFEs on technical sales engagement best practices and prioritize high-impact opportunities




• Review and guide customer architectures to prevent technical debt and ensure scalability




• Participate in customer engagements as a player/coach, including architectural discussions and executive-level conversations




• Aggregate and communicate field insights to senior leadership




• Surface product gaps and customer blockers to inform roadmap discussions




• Partner with Sales leadership to align technical resources with regional pipeline and key account priorities




• Participate in Communities of Practice and support knowledge-sharing initiatives




• Recruit, onboard, and develop Applied Field Engineers




• Build a culture of Technical Sales excellence




• Conduct regular 1:1s, provide feedback, and support career development for direct reports




• Keep customer information secure and confidential

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, including driving activation and usage of software services




• Hands-on technical depth in at least one of GenAI/LLMs, Machine Learning, Data Engineering, or Cloud Data Architecture




• Ability to engage confidently with VP- and Director-level stakeholders and translate technical value into business outcomes




• University degree in computer science, engineering, mathematics, or related fields, or equivalent experience




• Ability to comply with Snowflake confidentiality and security standards




• Authorization to work in the country to which applying




• U.S. person status may be relevant to the application




• U.S. work location indicated

Core Competencies

Demonstrates expertise in leading technical sales teams, driving customer activation of Snowflake AI/ML capabilities, and engaging with senior stakeholders to translate technical solutions into business value. Possesses strong technical depth in GenAI/LLMs, Machine Learning, Data Engineering, and Cloud Data Architecture.

Highest-signal resume keywords

• Technical Sales Leadership




• GenAI/LLMs Expertise




• Machine Learning Proficiency




• Cloud Data Architecture Knowledge




• People Management Experience

Hard Skills

• Technical Sales




• Machine Learning




• Data Engineering




• Cloud Data Architecture




• GenAI/LLMs




• Customer Engagement




• Architectural Review




• Technical Coaching




• Execution Excellence




• Consumption-Based Models

Soft Skills

• Coaching




• Communication




• Feedback Provision




• Career Development Support




• Stakeholder Engagement

Industry Keywords

• Pre-Sales




• Technical Consulting




• Technical Debt




• Scalability




• Customer Activation




• Confidentiality Standards

Tools & Technologies

• Snowflake




• AI/ML Capabilities