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Required Skills
Presenting
Problem-solving
Technical Communication
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’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.
In this role, you will have the opportunity to learn Snowflake’s technology portfolio, the needs and business challenges of customers in every industry, and Snowflake's sales process to address them. You’ll do so while applying your technical aptitude, exceptional communication and creative problem-solving skills on a daily basis. Upon successful completion of the program, you will join our regional Sales Engineering organization and contribute to the success of the team.
YOU WILL GET TO:
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Present Snowflake technology and vision to executives and technical contributors at prospects and customers.
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Leverage knowledge of a domain or industry to align Snowflake’s value to the customers’ business and technical problems
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Work hands-on with Sales Engineers, prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation.
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Maintain a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them.
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Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.
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Provide ongoing, post-sales, technical guidance to the customer’s technical team to drive customer utilization of Snowflake and digital transformation success
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Contribute to global and regional Sales Engineering initiatives.
REQUIREMENTS:
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A deep interest in translating customer needs and problems into technical solutions.
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A passion for technology, a willingness to learn and the ability to work in a fast-paced work environment.
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Ability to present technical topics to a variety of audiences (technical, business, executive) via a whiteboard session or using presentations and demos.
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A university degree in Computer Science, Engineering, Mathematics or related fields or equivalent experience is preferred.
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1-3 years industry experience (can include internship experience) with a focus on data analytics, pre-sales, solution architecture or data engineering.
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Hands-on experience with any of the following: SQL, Python, Scala, Java, cloud technology, data platform, or data analytics
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Have a strong desire to pursue a career in Sales Engineering.
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?
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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