Note: The job is a remote job and is open to candidates in USA. Snowflake is a company that empowers both enterprises and individuals to reach their full potential. They are seeking a Senior Manager, Applied Field Engineering - AI/ML Product Specialist to lead a team of Applied Field Engineers specializing in Generative AI, Machine Learning, and Advanced Analytics, ensuring customers successfully activate and consume Snowflake's AI/ML capabilities.
Responsibilities
- 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
- 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
- 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
Skills
- 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)
Company Overview
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