Commercial Solution Engineer - Expansion

Posted Yesterday
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London, England, GBR
In-Office
Entry level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
Let's build a world where data and AI turn possibilities into reality.
The Role
Works with account sales teams, partners, and customers to demonstrate Snowflake solutions, lead proofs of concept, develop technical champions, and drive technical wins. Presents to executives and technical audiences, translates business needs into data and cloud architectures, supports evaluations and implementations, tracks competitive technologies, and collaborates with Product, Engineering, Marketing, and implementation partners.
Summary Generated by Built In

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

We are looking for a Commercial Solutions Engineer for the UK market who can solve our customer’s most complex problems. In this role you will work directly with the account sales team and channel partners to understand the needs of our customers, strategize on how to best support them in their evaluation and ultimately help our customers choose Snowflake as their solution.

 

As a Snowflake Commercial Solutions Engineer you share our passion for solving complex data challenges and helping organizations to get the most out of their data assets. Our technical landscape is ever evolving and you are keen to learn new skills and put them into practice on real world challenges. You are able to translate features and functions into solutions that solve business problems, in conversations with technical or business teams, with end users or executives.

 
 
In this role you will get to:
  • Present Snowflake’s technology and vision to executives and technical contributors at prospects and customers

  • 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

  • Create and develop technical champions in your accounts to drive deals and achieve a technical win

  • Be at the cutting edge of Snowflake technology and confidently present Snowflake roadmap features and functionality to customers and/or prospects

  • Immerse and enable 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

  • Work closely with other sales engineers to make each other the best and constantly learn from wins and losses

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

  • Represent Snowflake at industry or customer events

  • Work with our ecosystem and implementation partners to build joint architectures or collaborate on account strategies and initiatives to help our customers be successful

     
On day one we will expect you to have:
  • Sales engineering/solution architect experience in a SaaS environment or relevant industry experience (analytics, data science, data engineering etc)

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

  • Understanding of and experience with data architecture, data analytics and cloud technology

  • Hands on experience with SQL

  • Ability to solve customer specific business problems and apply Snowflake’s solutions

  • Customer-facing skills to effectively communicate our vision to a wide variety of technical and executive audiences both written and verbal

     
Preferred (but not required) to have:
  • Hands on experience with Python

  • Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.)

  • Experience with data science and machine learning technology

     

People want to buy from people who understand them. Our Solutions Engineers build connections, relationships and trust with our customers that last. We love to learn, are open to giving and receiving feedback and are passionate about making our customers and each other successful.

 

Think you have what it takes but not sure that you tick every box above? Apply anyways! We value the broad range of experience our teams bring to the table and believe our customers are more successful because of it.

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

Skills Required

  • Sales engineering or solution architect experience in a SaaS environment, or relevant experience in analytics, data science, or data engineering
  • Outstanding presentation skills for technical and executive audiences
  • Understanding of data architecture, data analytics, and cloud technology
  • Hands-on experience with SQL
  • Ability to solve customer-specific business problems and apply Snowflake solutions
  • Customer-facing communication skills for technical and executive audiences, written and verbal
  • Hands-on experience with Python
  • Experience with modern data technologies such as dbt, Spark, containers, DevOps tooling, orchestration tools, or Git
  • Experience with data science and machine learning technology

Snowflake Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.

  • Fair & Transparent Compensation — Pay is often characterized as top‑of‑market across multiple roles. The company also points to a Fair Pay Workplace certification, signaling externally reviewed pay‑equity practices.
  • Equity Value & Accessibility — Equity is a meaningful part of total compensation, with new‑hire grants, refresh potential, and a discounted ESPP with a favorable lookback. Feedback suggests this ownership component materially boosts perceived total rewards.
  • Leave & Time Off Breadth — Parental leave is described as up to 26 weeks paid in the U.S., paired with flexible or generous PTO and multiple leave types. Family‑building benefits and a dedicated parental‑leave hub further expand support.

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The Company
HQ: Bozeman, MT
9,023 Employees
Year Founded: 2012

What We Do

Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.

Why Work With Us

Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.

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