Sales Engineer - UK

Snowflake
London
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer - Bristol

Senior Machine Learning Engineer (Outfits)

Data Science Lead

Data Scientist Intern (PhD level)

Data Science Lead

Build the future of the AI Data Cloud. Join the Snowflake team.

We are looking for a Sales 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 Sales 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

Proactively contribute and help co-develop Account & territory plans and execute while engaging with the broader internal/external ecosystem.

On day one you 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 dbt, spark, containers, devops tooling, orchestration tools, git, etc.) 

Experience with AI, data science and machine learning technologies

People want to buy from people who understand them. Our Sales 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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.