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.
We're looking for a Director of Engineering to join our leadership team in AI Functions product portfolio, a hybrid director/principal engineer role at the forefront of AI-powered analytics. Join our Leadership team in AI Functions Product Portfolio.
Our mission is to democratize AI by surfacing powerful AI functions directly in SQL for analyzing structured and unstructured data, with minimal configuration. We handle the full AI lifecycle behind the scenes, so data analysts, engineers, and scientists can build data transformation pipelines with AI using the most sophisticated building blocks seamlessly within their existing SQL workflows.
The AI Functions product portfolio represents one of the most strategic and impactful product surfaces within Snowflake, bringing together two of the company’s core strengths: its industry-leading ability to process massive volumes of data and its growing capability to make that data AI-ready. By embedding advanced AI and LLM-powered functions directly into SQL, this portfolio transforms Snowflake from a data platform into an intelligent data system—where structured and unstructured data can be seamlessly prepared, enriched, and analyzed using AI at scale. This convergence enables customers to operationalize AI within their existing workflows, unlocking faster insights, more powerful applications, and a fundamentally new way to interact with data.
IN THIS ROLE AT SNOWFLAKE, YOU WILL:
Create and own architecture and design, influence our product roadmap, and identify new initiatives that push Snowflake's technology forward for our customers
Set the strategic vision for the team and drive accountability for plans and deliverables
Solve real business needs at scale by applying strong software engineering and analytical problem-solving skills
Drive team projects from ideation through implementation in partnership with cross-functional teams
Foster a culture of creativity and innovation while ensuring sound, practical decision-making
Lead organizational structure evolution and improve engineering efficiency
Hire, develop, and mentor senior technical leaders
Manage, Grow, and Mentor the teams that have a significant impact on the success of the overall Snowflake product.
WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE:
Advanced degree in Computer Science
10+ years of software engineering experience with recent hands-on experience
2+ years of engineering director experience, including managing managers
Deep experience with AI infrastructure and LLMs
Experience building large-scale query processing or distributed systems
Strong track record of recruiting and growing technical teams
Excellent collaboration and communication skills across global organizations
WHY JOIN OUR TEAM AT SNOWFLAKE?
Join us at the forefront of AI innovation where you'll lead transformative initiatives that shape the future of data and artificial intelligence. You'll have the opportunity to work with cutting-edge LLM technology while building and mentoring high-performing engineering teams. Our culture promotes innovation, technical excellence, and collaborative problem-solving, offering you the platform to make a significant impact on enterprise AI solutions.
Snowflake is growing fast, and we are 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?
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
Skills Required
- 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 managing managers.
- Deep technical expertise in AI/ML, hands-on experience building and deploying solutions leveraging LLMs, NLP, and generative AI.
- Proven track record delivering complex software solutions to enterprise customers at large scale.
- Proven experience scaling engineering organizations and managing distributed teams across multiple geographies.
- Strong ability to partner with Product, Sales, Delivery, and Customer Success teams and directly with customers to drive business outcomes.
- Excellent communication and stakeholder management skills.
- Strategic mindset with strong project management and execution capabilities.
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.
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Fair & Transparent Compensation — Pay is often characterized as top‑of‑market across multiple roles. The company also points to a Fair Pay Workplace certification, signaling externally reviewed pay‑equity practices.
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Equity Value & Accessibility — Equity is a meaningful part of total compensation, with new‑hire grants, refresh potential, and a discounted ESPP with a favorable lookback. Feedback suggests this ownership component materially boosts perceived total rewards.
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Leave & Time Off Breadth — Parental leave is described as up to 26 weeks paid in the U.S., paired with flexible or generous PTO and multiple leave types. Family‑building benefits and a dedicated parental‑leave hub further expand support.
Snowflake Insights
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.
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