9 часов назад
Manager, Applied Field Engineering - AI/ML Product Specialists (AI/ML)
207 000 - 271 688$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager, Applied Field Engineering - AI/ML Product Specialists (AI/ML): Leading Applied Field Engineers through technical sales engagements and customer activation of Generative AI, Machine Learning, Advanced Analytics, and cloud data capabilities with an accent on technical execution, scalable customer architectures, and consumption-based adoption. Focus on coaching specialist teams, translating field insights into product feedback, and building trusted-advisor relationships with executive stakeholders.
Location: New York, NY or Menlo Park, CA, United States
Salary: $207,000–$271,688 per year
Company
Snowflake provides cloud data and AI/ML capabilities for enterprises and individuals.
What you will do
- Lead and coach a team of Applied Field Engineers specializing in Generative AI, Machine Learning, and Advanced Analytics.
- Drive customer workloads into production and increase consumption of contracted software services.
- Guide customer architecture reviews to prevent technical debt and ensure scalability.
- Participate in technical sales engagements and executive-level architecture discussions as a player/coach.
- Aggregate field insights, product gaps, and customer blockers for senior leadership and roadmap discussions.
- Partner with Sales leadership to align technical resources with regional pipeline and key accounts.
Requirements
- 8+ years of experience in pre-sales, technical sales, or technical consulting.
- 2+ years of people management experience, preferably leading technical overlay or specialist teams.
- Experience driving activation and usage of software services in consumption-based models.
- Hands-on expertise in at least one of Generative AI/LLMs, Machine Learning, Data Engineering, or Cloud Data Architecture.
- Ability to communicate with VP- and Director-level stakeholders and translate technical value into business outcomes.
- University degree in computer science, engineering, mathematics, or a related field, or equivalent experience.
Culture & Benefits
- Impact, innovation, collaboration, and rapid experimentation are emphasized.
- Knowledge sharing is supported through Communities of Practice.
- Employees are expected to follow confidentiality and data security standards.
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