Snowflake4 days ago
Sr Manager, Applied Field Engineering - AI/ML
Salary not specified
MARKET
15,900 ₽median for this role
Data Scientist · 115 jobs with disclosed pay
5,000half of the offers: 12,796–20,50043,793
The employer didn't disclose pay — compare with the market yourself.
Полная занятостьUS-NY-New York
Responsibilities
- 01Drive team performance toward Consumption Activation — ensuring customers successfully move workloads into production and realize contracted credit value
- 02Coach AFEs on technical sales engagement best practices, helping them identify and prioritize high-impact opportunities
- 03Review and provide hands-on guidance on customer architectures to prevent technical debt and ensure scalability
- 04Actively participate in customer engagements as a player/coach, modeling excellence in architectural discussions and executive-level conversations
- 05Aggregate and communicate field insights to senior leadership; surface recurring product gaps and customer blockers to inform roadmap discussions
- 06Partner with Sales leadership to ensure technical resources are aligned to regional pipeline and key account priorities
- 07Participate in Communities of Practice and support knowledge-sharing initiatives across the team
- 08Recruit, onboard, and develop a team of Applied Field Engineers, with a focus on technical growth and performance management
- 09Build a culture of Technical Sales excellence where AFEs serve as trusted advisors to customers throughout the sales and post-sales lifecycle
- 10Conduct regular 1:1s, provide ongoing feedback, and support career development for direct reports
Requirements
- 018+ years of industry experience in a pre-sales, technical sales, or technical consulting capacity
- 022+ years of people management experience, preferably leading technical overlay or specialist teams
- 03Experience with Consumption-based models: Ability to drive not just deal closures, but actual activation and usage of software services
- 04Technical credibility: Hands-on depth in at least one of the following: GenAI/LLMs, Machine Learning, Data Engineering, or Cloud Data Architecture
- 05Communication skills: Ability to engage confidently with VP and Director-level stakeholders and translate technical value into business outcomes
- 06University degree in computer science, engineering, mathematics, or related fields (or equivalent experience)
What we offer
- 01Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data
- 02Snowflake employees must abide by the company’s data security plan as an essential part of their duties
- 03It is every employee's duty to keep customer information secure and confidential