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

Snowflake4 days ago

Location

US-NY-New York

Type

Full Time

Salary

USD 207,000 – 271,688

Level

Manager

Role

Engineering Manager

Posted

Apr 9, 2026

Full TimeManager

The role

Summary

A senior leadership role at Snowflake focusing on managing a high-performing team of Applied Field Engineers specializing in AI/ML and Advanced Analytics. The position requires driving technical sales excellence, customer success, and strategic product insights while leading a team of technical specialists across pre-sales and customer engagement processes.

What you'll do

Technical Execution & Consumption Activation: Drive team performance towards ensuring customers successfully move workloads into production and realize contracted credit value

Product Feedback & Cross-Functional Collaboration: Aggregate field insights, communicate with senior leadership, and surface product gaps to inform roadmap discussions

Team Leadership & Development: Recruit, onboard, and develop Applied Field Engineers, focusing on technical growth, performance management, and creating a culture of technical sales excellence

What we look for

Technical

Technical ExpertiseHands-on depth in GenAI/LLMs, Machine Learning, Data Engineering, or Cloud Data Architecture

Sales Technology SkillsExperience with consumption-based software service models and technical sales engagement

Education

Academic BackgroundUniversity degree in computer science, engineering, mathematics, or related fields (or equivalent experience)

Experience

Professional Experience8+ years in pre-sales, technical sales, or technical consulting

Management Experience2+ years of people management, preferably leading technical overlay or specialist teams

Skills

Required skills

Technical LeadershipAbility to coach and guide technical teams in sales and customer engagement

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

Nice to have

AI/ML KnowledgeDeep understanding of Generative AI, Machine Learning, and Advanced Analytics technologies

Cross-Functional CollaborationStrong ability to work across different teams and align technical resources with business priorities

Compensation & benefits

Salary

USD 207,000 – 271,688 (annual)

Stock options

Available

Benefits

Health Insurance

Comprehensive medical, dental, and vision coverage

Professional Development

Continuous learning opportunities and technical training programs

Stock Options

Equity compensation to align employee and company success

Interview process

1
Initial Screening — HR phone screen to review background and initial qualifications
2
Technical Interview — In-depth discussion of technical expertise, leadership experience, and problem-solving skills
3
Leadership Assessment — Evaluation of team management capabilities and strategic thinking
4
Final Executive Interview — Meeting with senior leadership to assess cultural fit and strategic alignment