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Navvisvia Greenhouse

Associate AI Operations & Technology Specialist (f/m/d)

Munich Onsite (NavVis GmbH)Posted 1w ago
OtherEntry LevelFull-time

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About the Role

OUR VISION

When people use our technology to "bridge the gap" between the physical and digital worlds, they don’t just capture reality - they create a new one. In this new reality, they are smarter, more productive, more streamlined, and more creative - because they have the digital foundation to build the world they want to live in.

That’s what NavVis offers in all our products and services: the tools to not just map the world as it is, but to pave the way to a better future. To forge something new. Physical or digital, there is only one reality. And it’s the reality NavVis empowers people to build better. 

 

THE OPPORTUNITY

NavVis is looking for an Associate AI Operations & Technology Specialist to work directly with the Head of AI, Data & Systems acting as a force multiplier by taking ownership of strategic projects, cross-functional follow-ups, and fast-moving initiatives that do not yet have an owner.

Do you want to shape the future of how NavVis works with AI? Are you hungry to learn and genuinely excited about how AI is changing the way we get things done? Then this is where you want to be.

 

HOW YOU WILL MAKE AN IMPACT

  • Own follow-through on meetings, decisions, and initiatives, turning conversations into action items, trackers, and outcomes

  • Take ownership on special projects end to end, from scoping and research to execution and reporting

  • Build lightweight tools, dashboards, and automations using AI-assisted (“vibe coding” development workflows, solving problems faster than a full engineering cycle allows

  • Prepare briefings, analyses, and presentations that help leadership make faster, better-informed decisions

  • Connect work across teams, spotting where projects are stalling and helping unblock them

  • Improve how the team works by identifying where AI tools and automation create leverage

 

 

WHAT WILL HELP YOU SUCCEED IN THE ROLE

  • 1 to 3 years of experience, for example from an internship, a startup role, or project work in a fast-changing, loosely defined environment

  • A technical mindset: comfortable working with data, logic, and tools without being a professional software engineer

  • Hands-on experience with AI tools for coding, research, or productivity (for example ChatGPT, Claude, or Cursor), combined with practical experience using no-code or low-code tools, or scripting in Python or JavaScript

  • Basic data analysis skills, along with using judgment to know when a quick script or dashboard is the right tool for a given problem

  • Strong written and verbal communication skills to simplify complex information into clear, actionable output

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