채용
Benefits & Perks
•Team events and activities
•Professional development budget
•Flexible work arrangements
•Comprehensive health, dental, and vision insurance
•Parental leave
•Generous paid time off and holidays
•Learning
•Flexible Hours
•Healthcare
•Parental Leave
Required Skills
Node.js
PostgreSQL
TypeScript
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.
We are seeking a Director of Engineering to lead our Cortex LLM Platform team, a critical component of Snowflake's AI strategy. This platform underpins all AI products that use LLMs, including Snowflake Intelligence, AISQL, REST API, and other customer-facing solutions. The role involves managing engineering teams that develop high-performance and scalable services, integrating expertise in AI systems, service deployment, and data infrastructure.
IN THIS ROLE AT SNOWFLAKE, YOU WILL:
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Set the strategic vision for the team and drive accountability for plans and deliverables
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Hire, develop, and mentor talented senior technical leaders
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Drive team projects from ideation through implementation with partner teams
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Translate product requirements into engineering initiatives and coordinate cross-functionally
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Foster a culture of creativity and innovation while ensuring practical decision-making
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Lead organizational structure evolution and improve engineering efficiency
WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE:
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Advanced degree in Computer Science
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7+ years of engineering management experience, including managing managers
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Deep experience with LLM serving and AI infrastructure
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5+ years of hands-on software engineering experience at staff level
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Strong track record of recruiting and growing technical teams
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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
Publicsnowflake 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
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