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

We are seeking a Manager, Applied Field Engineering – AI/ML Product Specialists to lead a high‑performing team of Applied Field Engineers within the Applied Field Engineering organization. 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/co‑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 On day one we will expect you to have: 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) Compensation & Benefits This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on‑target earnings of $308,000 - $404,250. The estimated base salary for this role is $231,000 - $303,188. Additionally, this role is eligible to participate in Snowflake's equity plan. The successful candidate's starting salary will be determined based on permissible, non‑discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. #J-18808-Ljbffr Snowflake