Senior Product Manager, Vision AI

Job Overview

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 will deeply understand both the ML pipeline (data ingestion, annotation, training) and our distributed edge deployment architecture.

You need to understand 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, starting from deep customer and market understanding, and ensuring they execute flawlessly across thousands of edge devices while delivering 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.
• Internal and External Communication:
  Act as a clear communicator of complex AI capabilities across audiences; align engineers, leadership, and commercial teams internally, while confidently representing product capabilities and vision to customers and partners externally.
• 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 objective model evaluation metrics.
• Bridging Research to Production:
  Guide the transition of internal research into production‑ready features that drive edge engine performance.
• Cross‑Functional Translation:
  Translate highly complex concepts into actionable products for the commercial team, and translate AdTech/Retail Media market needs into technical roadmaps for the engineers.
• Privacy by Design:
  Ensure all AI product developments strictly follow our privacy‑by‑design philosophy.

• 5+ years of Product Management experience, with a strong track record of launching 0‑to‑1 products in the AI, Machine Learning, or Deep‑Tech space.
• Deep Architectural Fluency:
  You have a BSc/MSc in Computer Science, AI or Engineering. You do not necessarily build a neural network from scratch, but you deeply understand the ML pipeline (data ingestion, annotation, training, inference, edge deployment vs. cloud).
• Hands‑on with Data:
  You are comfortable digging into model evaluation data and can confidently debate technical trade‑offs with senior engineers.
• CV/ML Literacy:
  Familiarity with computer vision concepts such as 3D spatial perception, object tracking and edge‑based inference.
• Entrepreneurial Mindset:
  Highly resourceful, comfortable making decisions with incomplete data, and relentless about finding product‑market fit in uncharted territory.

• Experience with MLOps and continuous model evaluation systems.
• Direct experience with AdTech or Retail Media ecosystems.
• Deep understanding of global privacy regulations (GDPR, etc.) as they relate to AI/ML.

• Innovative Environment:
  Join a team combining computer vision, IoT, edge computing, and real‑time data pipelines to build enterprise‑grade tech that transforms retail and advertising.
• Global Impact:
  Collaborate with some of the world’s largest retailers and lead the charge in shaping the future of unified omnichannel Retail Media.
• Professional Growth:
  Your role won’t be static. As Advertima grows, we’ll create new leadership and specialist roles, giving you a chance to lead those new opportunities. Your work will have a direct impact on our growth trajectory.
• Supportive Culture:
  Be part of a team that values…