Startups · AI

Director of Engineering, AI Functions

Snowflake · US-CA-Menlo Park · Remote

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About Snowflake

Snowflake powers AI, data engineering, applications, and analytics on a trusted, scalable AI Data Cloud—eliminating silos and accelerating innovation. Backed by Sequoia.

About the role

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

What they're looking for

  • 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
More about this role

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,...

Read the full posting on Snowflake's site ↗

Engineering

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