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Director of Engineering, AI Enterprise

πŸ•’ 25 days ago
Engineering LeadershipTeam Scaling And ManagementAI/MLGenerative AI

πŸ“œ Description

  • Recruit, mentor, and scale a high-performing global engineering organization with a culture of innovation and engineering excellence.
  • Lead technical design and development of advanced AI/ML solutions using Snowflake Cortex and Snowflake ML, owning end-to-end implementation from concept to production.
  • Partner with Fortune 100 customers and GTM teams as senior engineering authority to understand needs and drive tangible business impact.
  • Drive continuous improvement in AI methodologies and represent Snowflake's AI capabilities within the technical community.

πŸ› οΈ Requirements

  • BS/MS/PhD in Computer Science or related field, or equivalent experience.
  • 12+ years of software engineering experience with at least 4 years in an Engineering Director role managing managers.
  • Deep technical expertise in AI/ML with proven hands-on experience building and deploying solutions using LLMs, NLP, and generative AI technologies.
  • Strong track record delivering complex software solutions to enterprise customers in large-scale environments.
  • Proven experience scaling engineering organizations across multiple geographic locations.
  • Exceptional ability to partner with Product, Sales, Delivery, and Customer Success teams and directly with customers.
  • Excellent communication and stakeholder management skills to articulate technical vision to technical and non-technical audiences.
  • Strategic mindset with strong project management and execution capabilities.

✨ Benefits

  • Define long-term technical vision and organizational structure for the AI Solutions team, aligned with product evolution and business goals.
Full job description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset β€” who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Where Data Does More. Join the Snowflake team.

Snowflake is seeking an entrepreneurial and visionary engineering leader to build and scale our new AI Solutions team. As the Director of Engineering for AI Enterprise, you will be at the forefront of the generative AI revolution, leading a world-class engineering organization that designs and implements cutting-edge solutions on the AI Data Cloud. This is a critical, high-impact leadership role where you will 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.

IN THIS ROLE AT SNOWFLAKE, YOU WILL:

  • 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.

WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE:

  • 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.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

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