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Global Head of Vision AI

Advertima Vision AG

About Advertima Vision

Advertima is building the missing infrastructure that brings the power of digital advertising to the physical world.

Retail Media has become one of the largest disruptions in the history of advertising. Analysts expect the global Retail Media market to exceed $300 billion by 2030, representing nearly one fourth of global advertising spend.

But there is a major problem: while Retail Media exploded online, physical stores, where around 90% of shopping is still expected to happen well into the next decade, still lack the technological capabilities required to participate in this transformation at the same level.

Most in store advertising today still operates like the internet did twenty years ago: static screens, no audience intelligence, no real time targeting, and almost no measurable performance.

We are changing that. Advertima created and leads the category of In store Audience Intelligence.

Using Computer Vision, edge computing, and AI, we transform physical retail environments into real time, data driven media channels. At the core of this transformation lies Vision AI.

We fundamentally believe that Computer Vision is the key enabling technology required to bring true performance media capabilities into physical environments. Without understanding physical shoppers in real time, there is no scalable way to build audience based Retail Media inside stores.

We believe the market is massively underestimating how much spend will shift into stores once physical retail environments gain the same audience intelligence and performance capabilities that transformed online advertising.

And this shift will not only come from online Retail Media or traditional media. We believe advertising will increasingly move from across the broader media ecosystem, including Search, Social, DOOH, and other traditional media, into physical retail environments once stores get real time performance media capabilities.

We are leading this transition. That is why we created a dedicated Vision AI organization at Advertima.

The Vision AI team is responsible for the perception layer of our platform: real time shopper detection, multi person tracking, 3D positioning, head pose estimation, body pose estimation, spatial understanding, and contextual scene analysis, all fully privacy compliant and optimized for edge deployment at global scale.

Our systems already operate across global retail networks with companies such as Walmart, Carrefour, FairPrice, SPAR, and EDEKA.

The technical challenge behind this is massive: real time Computer Vision running on edge devices, under hardware constraints, in difficult physical environments, at enterprise scale, while remaining fully privacy compliant.

If you enjoy solving difficult real world Computer Vision problems and building large scale AI perception systems that operate in production globally, Advertima offers a rare opportunity.

Job Overview

Your role…

Lead the Vision AI Organization

You will lead Advertima’s global Vision AI organization and define the technological direction of our Computer Vision stack.

Your focus is the Capture layer of our technology platform: understanding physical shoppers and physical environments in real time through Computer Vision.

You will lead and scale a high-performance engineering culture focused on solving real-world perception challenges at enterprise scale.

Own the Physical-World Perception Layer

Your team is responsible for:

  • shopper detection
  • multi-person tracking
  • 3D positioning
  • head pose estimation
  • body pose estimation
  • spatial understanding
  • contextual scene analysis
  • sensor fusion
  • edge AI inference optimization

Drive Computer Vision Innovation

You will continuously evolve Advertima’s Computer Vision capabilities across:

  • perception systems
  • spatial AI
  • edge inference
  • multimodal perception
  • privacy-preserving AI architectures

You understand how to balance bleeding-edge Computer Vision research with real-world deployment constraints and operational scalability.

Bridge Research and Real-World Deployment

You know that successful Computer Vision systems are not built only in research environments.

You understand:

  • deployment complexity
  • hardware limitations
  • inference performance
  • real-world robustness
  • enterprise-scale reliability

You can transform advanced Computer Vision research into production-ready systems operating globally across thousands of edge AI devices.

Cross-Functional Collaboration

You will work closely with:

  • Audience AI
  • Platform Engineering
  • Product
  • Hardware & Procurement

while maintaining clear ownership of the Vision AI domain.

Thought Leadership

You will represent Advertima externally as a leader in Computer Vision and real-world perception systems through technical discussions, conferences, customer engagements, and strategic industry conversations.

Your profile…
Educational Background

Advanced degree (MSc or PhD preferred) in:

  • Computer Vision
  • Computer Science
  • Robotics
  • Artificial Intelligence
  • or related technical fields

     

Experience

 

  • 10+ years experience in Computer Vision and AI systems
  • Proven experience leading Computer Vision teams
  • Experience deploying Computer Vision systems into real-world production environments
  • Experience scaling AI infrastructure across large deployments

     

Technical Skills

Strong expertise in:

  • 3D Computer Vision
  • Multi-object tracking
  • Pose estimation
  • Spatial AI
  • Sensor fusion
  • Edge AI inference
  • Real-time perception systems
  • Distributed AI systems

Experience with multi-camera environments, GPU optimization, low-latency inference pipelines, and edge deployment is highly valuable.

Leadership Skills

You combine:

  • deep technical expertise
  • operational pragmatism
  • strong execution
  • strategic thinking

You can lead senior engineers while maintaining extremely high technical standards.

Technology Vision

You have strong intuition for where Computer Vision and physical-world AI are heading over the next 5–10 years.

You believe that understanding the physical world in real time will become foundational infrastructure for future intelligent environments.

 

Why Advertima Vision?

Build a Completely New Technology Category

You will help define the future infrastructure layer for physical-world audience intelligence and Retail Media.

Solve Real-World AI Problems at Scale

Most AI companies operate only in digital environments.

We operate in the physical world: real-time environments, changing conditions, hardware constraints, distributed infrastructure, and enterprise-grade reliability requirements.

Global Impact

Your work will directly shape deployments with some of the world’s largest retailers operating across thousands of stores globally.

Unique Technical Challenge

Very few companies globally are solving:

  • real-time physical-world perception
  • privacy-preserving audience intelligence
  • large-scale edge AI deployment

simultaneously.

Supportive Culture

We value:

  • technical excellence
  • direct feedback
  • ownership
  • speed
  • ambition
  • operational pragmatism

without corporate politics or unnecessary hierarchy.

What You Need for a Cultural Fit

​​​​​​​
  • Self-Management: You take ownership and responsibility without waiting for direction.
  • Builder Mentality: You want to build systems that matter, not optimize PowerPoint slides.
  • Curiosity & Technical Depth: You continuously deepen your understanding of Computer Vision, AI systems, hardware evolution, and spatial computing.
  • Hands-On Mentality: You are comfortable going deep technically while also leading teams strategically.
  • Feedback Culture: You naturally give and receive direct feedback because you care about building excellent systems and teams.
  • ​​​​​​​You Are a Game Changer: You want to shape the future perception layer of physical retail environments, not just participate in it.

​​​​​​​
If you want to lead one of the most ambitious real-world Computer Vision challenges in the market and help define the future infrastructure layer of physical retail environments, we encourage you to apply.


 

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