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Director of Engineering, AI Enterprise

Snowflake

Remote · Menlo Park, California, United StatesFull Time$264k–$380k
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Director of Engineering, AI Enterprise at Snowflake is a full time role based in Remote · Menlo Park, California, United States (remote). The listing states pay of $264k–$380k. It was published on 14 August 2026 and was open at last check.

Director of Engineering, AI Enterprise at Snowflake — key details
RoleDirector of Engineering, AI Enterprise
CompanySnowflake
LocationRemote · Menlo Park, California, United States (remote)
Employment typeFull Time
Pay (as listed)$264k–$380k
Published14 August 2026
StatusOpen at last check

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 — 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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Create your free OnJob profile to apply — we'll take you to Snowflake's application after sign-up. · Posted 14 Aug 2026.

Director of Engineering, AI Enterprise at Snowflake — questions answered

What does the Director of Engineering, AI Enterprise role at Snowflake pay?

The Director of Engineering, AI Enterprise at Snowflake listing states pay of $264k–$380k for the Remote · Menlo Park, California, United States (remote) position. That figure is taken directly from the employer's own posting as published, not estimated or averaged from other roles.

Is the Director of Engineering, AI Enterprise role at Snowflake remote?

Yes — Snowflake advertises this Director of Engineering, AI Enterprise role as remote, tied to Remote · Menlo Park, California, United States, and it is listed as full time work. Remote terms come from the employer's own posting, so confirm the expected working hours, timezone and any on-site days with Snowflake before you apply.

Is the Director of Engineering, AI Enterprise role at Snowflake still open?

The Director of Engineering, AI Enterprise posting at Snowflake was open at OnJob's last check of the employer's careers page, having been published on 14 August 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.

How do you apply for the Director of Engineering, AI Enterprise role at Snowflake?

Apply to the Director of Engineering, AI Enterprise at Snowflake role through OnJob with a free profile: OnJob scores your fit against the listing, shows the skills lowering that score, and submits an ATS-ready profile to Snowflake's own application page. Creating a profile is free and needs no card.

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