招聘
Required Skills
SQL
Presenting
AI/ML
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 looking for a Solution Engineer who is accustomed to solving customers’ most complex problems, closing large deals, and positioning organizations to enable AI adoption quickly and easily. In this role, you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, and support enterprise Proof of Concepts.
As a Snowflake Solution Engineer, you must share our passion for reinventing the data landscape. You should have a proven track record of helping customers modernize their data stack to unlock AI/ML capabilities. You are equally comfortable in both a business and technical context, interacting with executives about AI strategy and "talking shop" with technical audiences about implementation.
IN THIS ROLE YOU WILL GET TO:
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Present Snowflake technology and vision to executives and technical contributors, specifically focusing on how Snowflake serves as the engine for rapid AI innovation.
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Work hands-on with prospects to demonstrate the value of Snowflake throughout the sales cycle, moving them from initial interest to value driving insights and business outcomes
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Immerse yourself in the ever-evolving industry, maintaining a deep understanding of Generative AI, LLMs, and competitive technologies, ensuring Snowflake is positioned as the easiest path to enterprise AI.
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Collaborate with Product and Engineering to share field insights on customer data platform and activation requirements to continuously improve our platform.
ON DAY ONE WE WILL EXPECT YOU TO HAVE:
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Proven success in positioning data solutions to enable rapid AI adoption, showing customers a clear path from raw data to actionable machine learning models.
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Outstanding presenting skills to both technical and executive audiences, with the ability to translate complex data concepts into business value.
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Broad range of experience within Large-scale Database/Data Warehouse technology, ETL, and modern AI/ML frameworks.
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Hands-on expertise with SQL and SQL analytics (Python or R experience for data science is a plus).
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The ability to connect a customer’s specific business problems to Snowflake’s AI and Data Cloud solutions.
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University degree in Computer Science, Engineering, Mathematics, or equivalent experience.
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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