Senior Product Manager, CV​/ML

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

Today, most advertising inside physical retail stores still operates like the internet did twenty years ago: static screens, no audience intelligence, and almost no measurable performance. Meanwhile, online advertising evolved into a trillion-dollar ecosystem powered by real-time data, automation, and programmatic infrastructure.

We are changing that.

Advertima has built the technology that transforms physical retail environments into real-time, data-driven media channels. Using computer vision, edge computing, and distributed AI systems, we translate physical shoppers into anonymized digital audiences that can be measured, targeted, and activated in real time.

This is not a theoretical vision or an incremental improvement. It is the creation of a completely new global technology standard.

Global retail leaders such as Walmart, Carrefour, Fair Price, SPAR, and EDEKA are deploying our technology across thousands of stores. Together, we are defining the global standard for In-store Retail Media.

But defining the technology is only the first step.

The real challenge is making this deep-tech capability work flawlessly in the real world. To power a global programmatic ecosystem, our core AI must execute complex tasks capturing, segmenting, and predicting audience behavior on constrained edge devices, in chaotic physical retail environments, at massive scale.

This is where product comes in.

At Advertima, product is not about writing specs. It is about making a new category actually work. You will work directly with Machine Learning engineers, dive into model evaluation data, navigate the trade-offs of edge hardware, and turn ambiguous AI research into robust, scalable product capabilities.

At the same time, everything we build follows a strict privacy-by-design philosophy. Our systems operate without storing personal data or images, while still enabling the audience intelligence required for real-time performance media. This approach, rooted in Switzerland’s strong privacy culture, is one of the key reasons global retailers trust Advertima.

You will operate at the intersection of deep-tech AI, edge computing, and commercial product shaping the foundational intelligence that makes in-store Retail Media possible. If you enjoy building in ambiguity, translating complex algorithms into business value, and defining how a new global standard is built, Advertima offers a rare opportunity.

We are seeking a highly technical and entrepreneurial Senior Product Manager to take ownership of our AI & Edge Platform. You will guide our multidisciplinary Machine Learning, Computer Vision, and Edge Engineering teams to turn complex technical capabilities into scalable product features. You aren't writing code, but you are expected to deeply understand both the ML pipeline (data ingestion, annotation, training) and our distributed edge deployment architecture.

You need to know why our edge infrastructure is built in systems languages like Rust, how data flows across our global IoT fleet, and how technical choices impact latency, system reliability, and overall accuracy. Your mission is to define the roadmap for our core AI capabilities—Capture, Segment, and Predict—ensuring they execute flawlessly across thousands of edge devices and deliver measurable business outcomes for the world's top retailers.

• Product Leadership:
  Lead the development of net-new CV and edge engine capabilities (e.g., path prediction, group composition) from ambiguous research phases to production-ready features.
• Navigate Technical & Architectural Trade‑offs:
  Partner closely with the edge engineering team to make key architectural decisions. Translate complex concepts (e.g., 3D spatial perception) into actionable requirements, balancing model accuracy, latency, and edge‑compute hardware constraints.
• Data‑Driven Specifications & Evaluation:
  Produce and own clear technical features for our CV pipelines (Capture, Segment, Predict). Challenge technical assumptions, ensuring data collection strategies and every claim are backed by…