Director of Engineering (AI Functions)

Snowflake

Bellevue (KY)

Hybrid

USD 220,000 - 360,000

Full time

4 days ago
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Benefits offered by this job

Comprehensive health insurance
Health savings accounts
Robust retirement plans
Life and disability insurance
ESPP and stock bonus
Quarterly bonus or commission

Job summary

Snowflake, a leader in AI-powered analytics, seeks a Director of Engineering for the AI Functions product portfolio. This hybrid director/principal engineer position shapes architecture, guides the product roadmap, and drives a world-class engineering organization across global teams.

You will recruit, mentor, and empower senior engineers, lead cross-functional programs from conception to delivery, and foster a culture of innovation with practical decision-making to scale Snowflake’s AI

Qualifications

  • 2+ years in engineering director role with people management responsibilities.
  • 10+ years of software engineering experience with hands-on work.
  • Advanced degree in Computer Science.
  • Deep experience with AI infrastructure and LLMs.
  • Excellent collaboration and communication across global organizations.
  • Experience building large-scale query processing or distributed systems.

Responsibilities

  • Create and own architecture and design for the AI Functions portfolio; influence product roadmap.
  • Set the strategic vision for the team and drive accountability for plans and deliverables.
  • Lead projects from ideation through implementation with cross-functional teams.
  • Hire, develop, and mentor senior technical leaders; grow engineering capability.
  • Improve engineering efficiency and evolve organizational structure while maintaining high standards.

Skills

Leadership
People management
Recruiting
Distributed systems
AI infrastructure
LLMs
Cross-team collaboration
Roadmap planning

Education

MS/PhD in CS

Job description

  • 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
  • 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
  • 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
Benefits
  • Comprehensive health insurance plans
  • Health savings accounts
  • Robust retirement plans
  • Life and disability insurance
  • Weekly online lunch and learns
  • Virtual workout classes
  • Ergonomic work-from-home equipment
  • On-demand mental health and wellness programs
  • Fertility benefits and family planning resources
  • Generous time-off and various leave plans
  • Onsite and Remote Work
  • Employee discounts and pre-tax selections
  • New hire equity + Employee Stock Purchase Plan (ESPP)
  • Quarterly bonus or commission program
Requirements
  • 2+ years of engineering director experience, including managing managers
  • Strong track record of recruiting and growing technical teams
  • 10+ years of software engineering experience with recent hands-on experience
  • Advanced degree in Computer Science
  • Deep experience with AI infrastructure and LLMs
  • Excellent collaboration and communication skills across global organizations
  • Experience building large-scale query processing or distributed systems
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