Hybrid Director of Engineering, Enterprise AI

at Snowflake

• Job title: Director of Engineering, Enterprise AI
• Job type: Full Time
• Experience level: Lead
• Salary: $243,000 - $330,000 per year
• Degree requirement: Bachelor's Degree
• Location requirements: Hybrid, Menlo Park, United States

About the role

• Lead Snowflake's AI Solutions engineering organization to design, deliver enterprise-grade generative AI using Cortex and Snowflake ML, partnering with Fortune 100 customers.

Responsibilities

• 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 end-to-end implementation from concept to enterprise-grade production deployments.
• Act as the senior engineering authority in customer engagements; partner closely with Fortune 100 customers and GTM teams to understand needs and ensure 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.
• Drive continuous improvement in AI methodologies and best practices and represent Snowflake's AI capabilities within the broader technical community.
• Potential for up to 25% travel to engage with customers and global teams.

Requirements

• BS/MS/PhD in Computer Science or related majors, or equivalent experience.
• 12+ years of experience in software engineering.
• At least 4 years in an Engineering Director role with experience managing managers.
• Deep technical expertise in the AI/ML domain.
• 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.
• 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.
• Strategic mindset combined with strong project management and execution capabilities.