Senior Manager, Applied Field Engineering – AI/ML

Jobtailor

Deutschland

Remote

EUR 110.000 - 150.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

Jobtailor seeks a Senior leader to guide a team of Applied Field Engineers in driving Snowflake AI/ML adoption across customers. You will mentor team members, steer technical sales engagements, and ensure production workloads achieve contracted value.

You will engage with senior stakeholders, translate technical outcomes into business value, and help shape architectural decisions while promoting best practices and scalable solutions.

Qualifikationen

  • 8+ years in pre-sales, technical sales, or technical consulting.
  • 2+ years in people management, preferably leading technical overlay teams.
  • Experience with consumption-based models and driving activation.
  • Hands-on depth in GenAI/LLMs, ML, Data Engineering, or Cloud Data Architecture.
  • Ability to engage VP/Director-level stakeholders and translate tech value into business outcomes.
  • CS/Engineering/Math degree or equivalent experience.
  • Must comply with confidentiality and security standards.
  • Authorized to work in the applying country; U.S. work location may be relevant.

Aufgaben

  • 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.

Kenntnisse

Technical Sales Leadership
GenAI/LLMs Expertise
Machine Learning Proficiency
Cloud Data Architecture
People Management

Ausbildung

University degree in CS/Engineering/Math

Tools

Snowflake
AI/ML Capabilities

Jobbeschreibung


  • 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

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