# Senior Manager, Applied Field Engineering - AI/ML

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Unspecified
**Role:** Engineering Management
**Salary:** $207k – $272k/yr
**Experience:** 8+ years
**Skills:** AI/ML, Snowflake Cortex, LLMs, Generative AI, MLOps, Machine Learning, Product Management, Product Roadmap, Cloud-Native Ai, Agent Frameworks, Technical Consulting, Solutions Engineering
**Posted:** 2026-08-20

> Leads a team of Applied Field Engineers focused on AI/ML product adoption, customer outcomes, and field-driven product improvements. Requires 8+ years in technical field roles, hands-on AI/ML expertise, and experience managing technical specialist teams.

## Job Description

## Responsibilities
- Lead and develop a high-performing team of Applied Field Engineers specializing in Snowflake's AI/ML products, including Cortex AI, ML modeling, and agentic workflows.
- Drive customer product adoption, scalable AI/ML workloads, and measurable business outcomes.
- Coach engineers on mapping AI/ML capabilities to customer use cases and data strategies.
- Review customer architectures to maximize platform value and minimize technical debt.
- Participate in strategic customer conversations as a player/coach, positioning Snowflake products against requirements and alternatives.
- Own the field-to-product feedback loop by synthesizing customer insights, product gaps, and adoption blockers.
- Partner with Product Management, Engineering, Product Marketing, and Sales leadership on roadmaps, product materials, beta programs, and resource alignment.
- Recruit, onboard, coach, and develop Applied Field Engineers.
- Run internal enablement on Cortex, agent frameworks, and ML platform features.

## Requirements
- 8+ years of experience in technical field roles such as pre-sales, solutions engineering, product specialization, or technical consulting.
- 2+ years of people-management experience leading technical or product specialist teams.
- Demonstrated experience influencing product roadmaps and translating customer feedback into product requirements.
- Hands-on expertise in at least two of: LLMs/GenAI, ML model development and deployment, MLOps, Snowflake Cortex, or cloud-native AI/ML platforms.
- Ability to drive product adoption and measurable customer value.
- Executive presence with VP- and Director-level technical and business stakeholders.
- University degree in computer science, engineering, mathematics, or a related field, or equivalent experience.

## Compensation
- Salary range: $207,000–$271,688.

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