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Snowflake

Solution Engineering Manager, EMEA North - Acquisition

Snowflake is hiring a Solution Engineering Manager, EMEA North - Acquisition in Amsterdam, Netherlands. Level rates it ; you can apply on Snowflake.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions Snowflake Cortex AI, Snowpark and Snowflake Intelligence among its tools and skills.
  • Level classes it as a senior role.
  • Snowflake has 376 other open roles on Level.
  • Posted within the past week.

AI in this role

Lead and coach a team of solution engineers driving customer acquisition and technical wins for the Snowflake AI Data Cloud.

Snowflake Cortex AISnowparkSnowflake IntelligenceApache Iceberg
solution-engineeringteam-managementsales-strategycloud-computing

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 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.

We are looking for a Solution Engineering Manager to lead our EMEA North Acquisition team. You will build and coach a team of Solution Engineers who help new customers across the region see what the Snowflake AI Data Cloud can do for them, from the first conversation to the technical win.

AS A SOLUTION ENGINEERING MANAGER AT SNOWFLAKE, YOU WILL:

  • Lead, hire, coach and develop a team of Solution Engineers focused on winning new logos across the Netherlands and the wider EMEA North region

  • Work with Acquisition Sales leaders on territory planning, pipeline reviews and technical win strategies for new customers

  • Guide your team through discovery, solution design and proofs of concept that show the value of Snowflake's AI Data Cloud, including Snowflake Cortex AI, Snowpark, Snowflake Intelligence and Apache Iceberg tables

  • Help prospects modernise their data, analytics and AI workloads, including migrations from legacy data warehouses and data lakes to Snowflake

  • Represent Snowflake to executives and technical leaders at prospect companies, explaining how governance with Snowflake Horizon, secure data sharing and Snowflake Marketplace support their business goals

  • Bring field feedback to Snowflake Product, Engineering and Partner teams so the roadmap reflects what regional customers need

  • Build repeatable demos, reference architectures and enablement content that help your team scale in the Acquisition segment

  • Set a high bar for technical excellence, forecast accuracy and customer experience across your team

OUR IDEAL SOLUTION ENGINEERING MANAGER WILL HAVE:

  • 8+ years of experience in pre-sales, solution engineering, solution architecture or technical consulting for data, analytics or cloud platforms

  • 3+ years of experience managing and developing pre-sales or technical customer-facing teams

  • A track record of winning new customers with technical selling, ideally in a fast-growing SaaS or cloud environment

  • Strong knowledge of data warehousing, data engineering, SQL and modern data architectures

  • Hands-on experience with at least one major cloud provider (AWS, Microsoft Azure or Google Cloud)

  • Excellent communication and presentation skills in English, and comfort engaging both executive and technical audiences

  • A collaborative leadership style that builds trust with Sales, Partner and Customer Success teams

BONUS POINTS FOR THE FOLLOWING:

- Fluency in Dutch or another Nordic or Benelux language

- Experience selling into enterprise and mid-market customers across Benelux and the Nordics

- Familiarity with GenAI, LLM and ML use cases, and how customers put them into production

- Knowledge of the competitive landscape for cloud data platforms

- Understanding of European data regulations such as GDPR and data residency requirements

WHY JOIN OUR TEAM AT SNOWFLAKE?

Snowflake is growing fast in EMEA, and the Acquisition team is where new customer relationships begin. In this role you will shape how organisations across EMEA North adopt the AI Data Cloud, while building a high-performing team and growing your own leadership career.

You will work alongside talented colleagues in Sales, Product and Engineering, with the backing of a company that invests in its people, rewards impact and values collaboration.

How do you want to make your impact?

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

How we rate this

Solution Engineering Manager, EMEA North - Acquisition at Snowflake rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Solution EngineeringTeam ManagementSales StrategyCloud ComputingSnowflake Cortex AISnowparkSnowflake IntelligenceApache Iceberg

Questions you could be asked

  1. Tell me about a project where solution engineering was part of your work. What did you do?
  2. Tell me about a project where team management was part of your work. What did you do?
  3. Tell me about a project where sales strategy was part of your work. What did you do?
  4. Tell me about a project where cloud computing was part of your work. What did you do?
  5. Walk me through how you've used Snowflake Cortex AI in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Solution Engineering, Team Management, Sales Strategy, Cloud Computing, and Snowflake Cortex AI. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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