Director of Engineering, AI Enterprise

• 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.
• Drive continuous improvement in AI methodologies and best practices. Represent Snowflake's AI capabilities and vision within the broader technical community.
• Potential for up to 25% travel to engage with customers and global teams.

• 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.

Demonstrates deep technical expertise in AI and machine learning, with a strong focus on building and deploying enterprise‑grade solutions. Proven ability to lead and scale engineering organizations while fostering collaboration across product, sales, and customer success teams.

• AI/ML Expertise
• Engineering Leadership
• Software Development
• Stakeholder Management
• Project Management

• Software Engineering
• AI Solutions Development
• Machine Learning Implementation
• Natural Language Processing
• Generative AI Technologies
• Large Language Models
• Enterprise Software Solutions
• Technical Design
• End-to-End Implementation
• Continuous Improvement in AI Methodologies

• Communication Skills
• Mentoring
• Strategic Mindset
• Collaboration
• Problem Solving

• BS/MS/PhD in Computer Science or Related Field

• Engineering Organization
• Customer Engagement
• Go-To-Market Strategy
• Enterprise Environment
• Technical Vision

• Snowflake Cortex
• Snowflake ML