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Snowflake

Director of Engineering, AI Enterprise

Snowflake

Director of Engineering leading AI Solutions at Snowflake. Building and scaling engineering teams to innovate in the generative AI space.

Posted 7/28/2026full-timeMenlo Park • California • 🇺🇸 United StatesLead💰 $264,000 - $379,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

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.

Highest-signal resume keywords
AI/ML ExpertiseEngineering LeadershipSoftware DevelopmentStakeholder ManagementProject Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringAI Solutions DevelopmentMachine Learning ImplementationNatural Language ProcessingGenerative AI TechnologiesLarge Language ModelsEnterprise Software SolutionsTechnical DesignEnd-to-End ImplementationContinuous Improvement in AI Methodologies
Soft Skills
Communication SkillsMentoringStrategic MindsetCollaborationProblem Solving
Tools & Technologies
Snowflake CortexSnowflake ML
Certifications & Qualifications
BS/MS/PhD in Computer Science or Related Field
Industry Keywords
Engineering OrganizationCustomer EngagementGo-To-Market StrategyEnterprise EnvironmentTechnical Vision

Tech Stack

Tools & technologies
Go

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • Competitive salary
  • Health insurance
  • Flexible work arrangements
  • Professional development