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Director of Engineering, AI SQL

Snowflake

Director of Engineering, AI SQL

Snowflake

US-CA-Menlo Park

·

On-site

·

Full-time

·

2w ago

Required Skills

Engineering Leadership

Database Systems

LLM

AI Infrastructure

Team Management

Software Engineering

SQL

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.

We are seeking a Director of Engineering to lead our AI SQL organization. As a Director, you will drive the AI SQL organization, which is focused on delivering advanced artificial intelligence capabilities to users without requiring them to be AI experts.

Our goal is to democratize AI by surfacing powerful AI functions for predictive and unstructured analytics directly in SQL with minimal configuration. We take care of the entire complex AI lifecycle behind the scenes, enabling users to perform advanced analytics in just seconds.

This approach brings AI data directly to data analysts, data engineers, and data scientists, allowing them to apply sophisticated AI models seamlessly as part of their existing workflows within the familiar SQL environment. This organization will have a significant and lasting impact on Snowflake’s product vision and the future of AI-powered analytics.

IN THIS ROLE AT SNOWFLAKE, YOU WILL:

  • Set the strategic vision for the team and drive accountability for plans and deliverables

  • Hire, develop, and mentor talented senior technical leaders

  • Drive team projects from ideation through implementation with partner teams

  • Translate product requirements into engineering initiatives and coordinate cross-functionally

  • Foster a culture of creativity and innovation while ensuring practical decision-making

  • Lead organizational structure evolution and improve engineering efficiency

WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE:

  • Advanced degree in Computer Science

  • 2+ years of engineering director experience, including managing managers

  • 5+ years of experience leading teams to build database system internals

  • Deep experience with LLM serving and AI infrastructure

  • 10+ years of software engineering experience

  • 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.

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

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 http://careers.snowflake.com

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About Snowflake

Snowflake

Snowflake

Public

snowflake provides web applications and web hosting services.

1-50

Employees

Zürich

Headquarters

Reviews

3.6

1 reviews

Work Life Balance

3.0

Compensation

3.5

Culture

2.5

Career

3.0

Management

2.0

35%

Recommend to a Friend

Pros

Positive performance reviews and raises

Opportunities to learn new technical skills

Career advancement with promotion

Cons

Role demotion after acquisition

Poor communication regarding promotions

Administrative inefficiencies with title updates

Salary Ranges

3,987 data points

Junior/L3

L3

L4

L5

L6

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Data Scientist

277 reports

$252,858

total / year

Base

$171,306

Stock

$57,741

Bonus

$23,811

$190,229

$354,557

Interview Experience

8 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 88%

Negative 12%

Interview Process

1

Application Review

2

Resume Screening

3

Initial Phone Screen

4

Technical Phone Screen

5

Technical Coding Round

6

Offer Discussion

Common Questions

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR