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JobsSnowflake

Senior Solution Engineer - Data and AI

Snowflake

Senior Solution Engineer - Data and AI

Snowflake

Auckland, New Zealand

·

On-site

·

Full-time

·

2w ago

Required Skills

SQL

Python

AI/ML

Cloud Data Platforms

Data Warehousing

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.

Build the future of data. Join the Snowflake team.

We are looking for a Senior Solution Engineer, with a background in AI/ML, who is accustomed to solving customers’ most complex problems and closing deals. 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, support enterprise Proof of Concepts, and ultimately close business.

As a Snowflake Senior Solution Engineer you must share our passion for the AI Data cloud, thrive in a dynamic environment, and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences.

IN THIS ROLE YOU WILL GET TO:

  • Present Snowflake technology and vision to executives and technical contributors at prospects and customers across industries

  • Work hands-on with 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

  • Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them.

  • Track record of linking technology initiatives and architectures to business outcomes

  • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

ON DAY ONE WE WILL EXPECT YOU TO HAVE:

  • 10+ years of industry experience with a minimum of 5 years in a consulting and/or pre-sales environment.

  • Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos

  • Deep expertise in cloud data platforms, AI/ML technologies (including LLMs, machine learning pipelines, and MLOps), data warehousing, and modern data architecture

  • Hands-on expertise with SQL and/or Python, and data modelling concepts

  • Ability to connect a customer’s specific business problems and Snowflake’s solutions

  • A curiosity and capability to quickly get up to speed with new technologies, tools, and frameworks.

  • University degree in computer science, engineering, statistics, or related fields, or equivalent experience preferred

ABOUT OUR TEAM:

Our Solution Engineers are customer obsessed and we believe in the value we can add and stay honest about it. We love to learn, are open to giving and receiving feedback and are passionate about making our clients successful. Our team works to ensure data is accessible, usable and valuable to everyone.

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