Senior Manager, Applied Field Engineering – AI/ML

Posted Sep 11

This is a fully remote position, open to applicants in California, +1 more state.

πŸ“‹ Description

β€’ Lead a high-achieving team of Applied Field Engineers within the Applied Field Engineering division.

β€’ Guide the team through technical sales interactions.

β€’ Promote execution excellence and facilitate customer activation and utilization of Snowflake AI/ML features.

β€’ Ensure customers transition workloads into production while maximizing contracted credit value.

β€’ Mentor AFEs on best practices for technical sales engagements and focus on high-impact opportunities.

β€’ Review and advise on customer architectures to avoid technical debt and ensure scalability.

β€’ Engage in customer interactions as both a participant and coach, including architectural discussions and conversations at the executive level.

β€’ Collect and relay field insights to senior management.

β€’ Identify product gaps and customer obstacles to contribute to roadmap discussions.

β€’ Collaborate with Sales leadership to synchronize technical resources with regional pipelines and key account priorities.

β€’ Take part in Communities of Practice and endorse knowledge-sharing initiatives.

β€’ Recruit, onboard, and cultivate Applied Field Engineers.

β€’ Foster a culture of Technical Sales excellence.

β€’ Conduct regular one-on-ones, offer feedback, and support the career development of direct reports.

β€’ Maintain the security and confidentiality of customer information.


⛳️ Requirements

β€’ 8+ years of experience in a pre-sales, technical sales, or technical consulting role.

β€’ 2+ years of experience in people management, preferably overseeing technical overlay or specialist teams.

β€’ Familiarity with consumption-based models, including promoting activation and usage of software services.

β€’ Hands-on technical expertise in at least one area such as GenAI/LLMs, Machine Learning, Data Engineering, or Cloud Data Architecture.

β€’ Capability to confidently engage with VP- and Director-level stakeholders and translate technical value into business results.

β€’ A university degree in computer science, engineering, mathematics, or a related field, or equivalent experience.

β€’ Ability to adhere to Snowflake's confidentiality and security standards.

β€’ Authorization to work in the country of application.

β€’ U.S. person status may be pertinent to the application.

β€’ U.S. work location specified.


🏝️ Benefits

β€’ Salary range of $207,000–$271,688 per year.

β€’ Adherence to Snowflake's confidentiality and security standards.

β€’ Equal employment opportunity.

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