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- Tasks: Join us as a Commercial Solution Engineer, solving complex data challenges for our customers.
- Company: Snowflake is revolutionising the AI Data Cloud, helping organisations maximise their data assets.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration.
- Why this job: Be at the forefront of technology, making a real impact while learning and growing your skills.
- Qualifications: Experience in sales engineering or relevant fields, with strong presentation and communication skills.
- Other info: Fluency in Hebrew and English is essential; apply even if you don't meet every requirement!
The predicted salary is between 36000 - 60000 £ per year.
Build the future of the AI Data Cloud. Join the Snowflake team. We are looking for a Commercial Sales Engineer for the 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 Solution 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 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.
- Excellent language skills in Hebrew and English.
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 Solution 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 anyway! 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?
Commercial Solution Engineer - Hebrew speaker employer: Snowflake
Contact Detail:
Snowflake Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial Solution Engineer - Hebrew speaker
✨Tip Number 1
Familiarise yourself with Snowflake's technology and its competitive landscape. Understanding how Snowflake stands out in the AI Data Cloud market will help you articulate its value to potential customers during interviews.
✨Tip Number 2
Brush up on your presentation skills, especially for technical audiences. Practice explaining complex data concepts in simple terms, as this will be crucial when demonstrating Snowflake’s solutions to clients.
✨Tip Number 3
Network with current or former employees of Snowflake or similar companies. Engaging with them can provide insights into the company culture and expectations, which can be beneficial during your interview process.
✨Tip Number 4
Stay updated on the latest trends in data analytics and cloud technology. Being knowledgeable about emerging tools and practices will not only impress your interviewers but also demonstrate your commitment to continuous learning.
We think you need these skills to ace Commercial Solution Engineer - Hebrew speaker
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in sales engineering or solution architecture, particularly in a SaaS environment. Emphasise your skills in data analytics, cloud technology, and any hands-on experience with SQL.
Craft a Compelling Cover Letter: In your cover letter, express your passion for solving complex data challenges and how your background aligns with Snowflake's mission. Mention your language proficiency in Hebrew and English, and provide examples of how you've successfully communicated technical solutions to diverse audiences.
Showcase Your Presentation Skills: Since outstanding presentation skills are crucial for this role, consider including a brief section in your application that outlines your experience presenting to both technical and executive audiences. You could even mention specific instances where you successfully conveyed complex information.
Highlight Continuous Learning: Demonstrate your eagerness to learn by mentioning any recent courses, certifications, or self-study related to modern data technologies, such as Python, dbt, or machine learning. This shows that you are proactive and committed to staying at the cutting edge of the industry.
How to prepare for a job interview at Snowflake
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with SQL and any other relevant technologies. You might be asked to solve a technical problem on the spot, so brush up on your skills and be ready to demonstrate your knowledge.
✨Understand Snowflake's Value Proposition
Familiarise yourself with Snowflake’s technology and how it stands out in the market. Be ready to articulate how Snowflake can solve complex data challenges for customers, as this will be crucial in demonstrating your fit for the role.
✨Prepare for Customer-Facing Scenarios
Since the role involves direct interaction with customers, think of examples from your past experiences where you successfully communicated technical concepts to non-technical audiences. This will showcase your ability to build relationships and trust.
✨Demonstrate Your Passion for Learning
Snowflake values individuals who are eager to learn and adapt. Be prepared to discuss how you keep up with industry trends and new technologies, and share any recent learning experiences that have shaped your understanding of data solutions.
