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Snowflake

Director of Engineering, AI Enterprise

RemoteUnited States only
Published
Role
Engineering Management
Experience
Lead
Employment
Full-time
Company size
Enterprise
Salary not disclosed
Check eligibility

Open to US only. Set where you work from to check your eligibility.

Core skills

LLMsgenerative AI technologiesSnowflake Cortex

Required skills

natural language processingSnowflake ML

What you'll do

  • Recruit, mentor, and scale a high-performing, global engineering organization. Foster a culture of innovation, ownership, and engineering excellence.
  • Define the long-term technical vision and organizational structure for the AI Solutions team, ensuring alignment with Snowflake's product evolution and business goals.
  • Lead the technical design and development of advanced AI and machine learning solutions using Snowflake Cortex and Snowflake ML. Own the end-to-end implementation of the AI Solutions product line, from initial concept to enterprise-grade production deployments.
  • Act as the senior engineering authority in customer engagements. Partner closely with Fortune 100 customers and our Go-To-Market (GTM) teams to understand their needs and ensure our solutions drive tangible business impact.
  • Serve as the engineering voice in strategic planning cycles, influencing headcount, budget, and product roadmaps. Forge strong partnerships with Product, Research, and Sales teams to deliver cohesive and powerful solutions.

What they require

  • BS/MS/PhD in Computer Science or related majors, or equivalent experience.
  • 12+ years of experience in software engineering, with at least 4 years in an Engineering Director role with experience managing managers.
  • Deep technical expertise in the AI/ML domain, with proven, hands-on experience building and deploying solutions leveraging LLMs, natural language processing, and other generative AI technologies.
  • Strong track record of delivering complex software solutions to enterprise customers, demonstrating a clear understanding of the challenges in a large-scale enterprise environment.
  • Proven experience scaling engineering organizations, including managing teams across multiple geographic locations.

unique identifier format used by various platforms

🇺🇸 United StatesData & AnalyticsEnterprise

What people say about this company

3.7/ 5

Salary not disclosed