Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
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
Snowflake Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.
-
Equity Value & Accessibility — Equity grants (RSUs) and an ESPP are central to total compensation and are described as highly valuable. Feedback suggests many see equity as a major satisfaction driver with meaningful upside potential.
-
Fair & Transparent Compensation — Pay is considered competitive and accompanied by clear communication on salary, equity, and advancement. Feedback suggests pay practices emphasize fairness and transparency.
-
Parental & Family Support — Paid parental leave, fertility benefits, adoption assistance, and family planning resources are notably comprehensive. Feedback suggests these programs materially support major life events.
Snowflake Insights
Similar Jobs
What We Do
Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.
Why Work With Us
Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.
Gallery
