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Principal Services Solutions Manager - Federal
Snowflake —Zürich, ZH
You are able to translate features and functions into solutions that solve business problems, in conversations with technical or business teams, with end users…
il y a 12 jours
Python Developer (Mid/Senior)
Sphynx —Zoug, ZG
Collaborate with cross-functional teams (security analysts, frontend engineers, DevOps, research) in an agile environment.
Postuler rapidement
il y a 5 jours

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Principal Services Solutions Manager - Federal

Snowflake -
Zürich, ZH

Soumettre votre candidature

Détails de l'emploi

100%
Il y a 12 jours

Qualifications

Français
Spark
Git
Anglais
SQL
SaaS
Italien
Python
Allemand

Description complète du poste

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.

Snowflake is looking for a Senior Solution Engineer already based in or commutable to Zurich to solve our Swiss customers' most complex challenges.

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

On day one we will expect you to have:

Solution 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
Must-have: German and English, Nice to have: French and Italian

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 AI, data science and machine learning technologies

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 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

Soumettre votre candidature

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devops engineer cloud devops emplois

Principal Services Solutions Manager - Federal

Python Developer (Mid/Senior)

Senior AI Architect - Microsoft Technologies

Head of Data Platform

Senior Project Manager, Delivery

BFF (Kotlin, Java) Developer with German

Enterprise Account Executive, Switzerland (English & German Speaker)

Senior Java Developer (Distributed Financial Systems) 80 - 100% (f/m/d) - (Contract through our external payroll partner with immediate start for 12 months with possible extension)

Platform Engineer (Kubernetes & Infrastructure) 80–100%

GenAI & Machine Learning Engineer

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