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

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Remote
**Role:** Sales Engineering
**Salary:** $207k – $272k/yr
**Experience:** 8+ years
**Skills:** Generative AI, Machine Learning, Data Engineering, Cloud Data Architecture, Technical Sales, Pre-Sales, Technical Consulting, LLMs
**Posted:** 2026-06-01

> Lead a team of Applied Field Engineers specializing in Generative AI, Machine Learning, and Advanced Analytics. Drive technical sales engagements, ensure customer success with Snowflake's AI/ML capabilities, and provide product feedback.

## Job Description

## Responsibilities & Focus Areas:

*   **Technical Execution & Consumption Activation:**
    *   Drive team performance toward Consumption Activation — ensuring customers successfully move workloads into production and realize contracted credit value
    *   Coach AFEs on technical sales engagement best practices, helping them identify and prioritize high-impact opportunities
    *   Review and provide hands-on guidance on customer architectures to prevent technical debt and ensure scalability
    *   Actively participate in customer engagements as a player/coach, modeling excellence in architectural discussions and executive-level conversations
*   **Product Feedback & Cross-Functional Collaboration:**
    *   Aggregate and communicate field insights to senior leadership; surface recurring product gaps and customer blockers to inform roadmap discussions
    *   Partner with Sales leadership to ensure technical resources are aligned to regional pipeline and key account priorities
    *   Participate in Communities of Practice and support knowledge-sharing initiatives across the team
*   **Team Leadership & Development:**
    *   Recruit, onboard, and develop a team of Applied Field Engineers, with a focus on technical growth and performance management
    *   Build a culture of Technical Sales excellence where AFEs serve as trusted advisors to customers throughout the sales and post-sales lifecycle
    *   Conduct regular 1:1s, provide ongoing feedback, and support career development for direct reports

## 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:** Ability to drive not just deal closures, but actual activation and usage of software services
*   **Technical credibility:** Hands-on depth in at least one of the following: GenAI/LLMs, Machine Learning, Data Engineering, or Cloud Data Architecture
*   **Communication skills:** Ability to engage confidently with VP and Director-level stakeholders and translate technical value into business outcomes
*   **Education:** University degree in computer science, engineering, mathematics, or related fields (or equivalent experience)

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