Sr Manager, Applied Field Engineering - AI/ML

Snowflake
Menlo Park, New York, Boston
Workplace: OnsiteFull timeUSD 207,000 - 271,688 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Low-ego","Experimental mindset","Product intuition","Customer outcome orientation","Executive presence"]

Lead a team of AI/ML Applied Field Engineers at the intersection of product, field, and customer success. Drive adoption of Snowflake’s AI/ML offerings—including Cortex AI, ML modeling, and agentic workflows—so customers build and scale measurable workloads. Own the field-to-product feedback loop, translate customer experience into roadmap priorities, and partner with Product Management, Engineering, Sales, and Product Marketing to shape product and customer outcomes.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Snowflake
Snowflake
1 day ago

Sr Manager, Applied Field Engineering - AI/ML

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Lead a team of AI/ML Applied Field Engineers at the intersection of product, field, and customer success. Drive adoption of Snowflake’s AI/ML offerings—including Cortex AI, ML modeling, and agentic workflows—so customers build and scale measurable workloads. Own the field-to-product feedback loop, translate customer experience into roadmap priorities, and partner with Product Management, Engineering, Sales, and Product Marketing to shape product and customer outcomes.
Location: Menlo Park, New York, Boston
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Manage a team of Applied Field Engineers to drive product adoption and measurable customer outcomes for Snowflake AI/ML workloads
  • •Coach AFEs to build product depth and map Snowflake AI/ML capabilities to customer use cases and data strategies
  • •Review customer architectures with a product lens to maximize platform value and minimize technical debt
  • •Own the field-to-product feedback loop by gathering, synthesizing, and prioritizing customer insights, adoption blockers, and product gaps
  • •Recruit, onboard, develop, and enable the team through 1:1s, feedback, and internal enablement on evolving Snowflake AI/ML capabilities

Pay and Benefits

Salary: USD 207,000 - 271,688 annually

Key Requirements

  • •8+ years of experience in technical field roles (pre-sales, solutions engineering, product specialist, or technical consulting) with increasing scope and impact
  • •2+ years of people management experience leading technical specialist or product specialist teams
  • •Demonstrated experience working closely with product management—contributing structured customer feedback and translating field experience into product requirements
  • •Hands-on AI/ML product expertise in at least two of: Large Language Models/GenAI, ML model development and deployment, MLOps, Snowflake Cortex, or cloud-native AI/ML platforms
  • •A university degree in computer science, engineering, mathematics, or a related field (or equivalent experience)
Experience:8+ yearsAI/MLPre-salesSolutions engineeringProduct specialistTechnical consulting
Education:Bachelor's in computer science, engineering, mathematics, or a related field
Skills:Low-egoExperimental mindsetProduct intuitionCustomer outcome orientationExecutive presence
Tech Stack:AI/MLCortex AIML modelingAgentic workflowsLarge Language ModelsGenAIML model developmentDeploymentMLOpsSnowflake CortexCloud-native AI/ML platforms

Company Brief

Snowflake
Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bozeman, United States
Founded: 2012
WebsiteLinkedIn