Director of Engineering, AI Enterprise

Snowflake Snowflake · Data AI · CA-Menlo Park, United States · Engineering

Director of Engineering for AI Enterprise at Snowflake, leading a team to design and implement generative AI solutions on the AI Data Cloud for enterprise customers. Focuses on end-to-end product implementation, customer engagement, and scaling the engineering organization.

What you'd actually do

  1. Recruit, mentor, and scale a high-performing, global engineering organization. Foster a culture of innovation, ownership, and engineering excellence.
  2. Define the long-term technical vision and organizational structure for the AI Solutions team, ensuring alignment with Snowflake's product evolution and business goals.
  3. 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.
  4. 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.
  5. 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.

Skills

Required

  • 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.
  • Exceptional ability to partner with Product, Sales, Delivery and Customer Success teams and directly with customers to achieve business outcomes.
  • Excellent communication and stakeholder management skills, with the ability to articulate a technical vision and strategy to both technical and non-technical audiences.
  • Strategic mindset combined with strong project management and execution capabilities.

What the JD emphasized

  • AI-native thinkers
  • AI as a high-trust collaborator
  • core to how you solve problems
  • AI Enterprise
  • generative AI revolution
  • AI Data Cloud
  • AI Solutions team
  • AI and machine learning solutions
  • AI Solutions product line
  • AI capabilities
  • AI/ML domain
  • generative AI technologies

Other signals

  • leading a world-class engineering organization that designs and implements cutting-edge solutions on the AI Data Cloud
  • Own the end-to-end implementation of the AI Solutions product line, from initial concept to enterprise-grade production deployments
  • partner with the world's largest companies to solve their most complex challenges and unlock transformative business value using Snowflake's powerful Cortex AI Platform
  • 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