
Indivd enables stores and shopping centres to gain valuable insights into customer movement and behavior within their physical spaces, similar to how online retailers track user interactions. Our…

Indivd enables stores and shopping centres to gain valuable insights into customer movement and behavior within their physical spaces, similar to how online retailers track user interactions. Our…
Product: Patented privacy-first AI vision platform that uses existing 2D cameras to measure visitor counts, journeys, dwell times and customer segmentation for physical locations
Market: Retail stores, shopping centres, airports — in-store physical analytics
Privacy & Accuracy: Privacy-by-design anonymization, GDPR/AI-Act compliance claims and KPMG-verified people-counting accuracy (~99%)
Recent funding: Raised 14 million SEK in a round announced Nov 13, 2024
Approximately 19 employees
Physical retail and location analytics — bridging offline customer behavior measurement gap with privacy-preserving computer vision.
2017
Software Development
14 million SEK
Round described as coming from existing shareholders and new retail-sector investors; named individual investors include Per Setterberg, Carl Setterberg, Martin Roos and Amelia Barnekow Söderberg.
At Indivd, we’ve built a patented, AI-driven platform that helps retailers, shopping malls, and public spaces gain deep insights into customer behavior without compromising privacy.
Using advanced computer vision and machine learning, we bridge the gap between physical and digital analytics. It might sound like sci-fi, but it’s real and it’s already revolutionizing the industry.
We are looking for a highly skilled Senior Backend Engineer to join our R&D team at Indivd. You will take ownership of designing and implementing backend architecture, building scalable services, and managing deployments/DevOps. This is a standalone role — you’ll be expected to work autonomously with little supervision, driving projects end-to-end.
While prior experience in AI, machine learning, or computer vision is not required, it will be considered a strong advantage.
5+ years of professional backend engineering experience (senior-level).
Strong proficiency in one or more modern backend languages: – preferred; – also highly valued.
Background in AI, computer vision, or machine learning product development.
Experience with GPU-based deployments (CUDA, TensorRT, etc.).
Familiarity with monitoring tools (Prometheus, Grafana, ELK stack).
Opportunity to shape backend architecture for cutting-edge AI/computer vision solutions.
Full ownership and autonomy in your work.
Flexible, remote-friendly culture with global collaboration.
Competitive salary and company laptop
35 paid days off per year + biannual team meetups (travel covered)
Your next opportunity is in here somewhere. Sign up to explore 70,000+ startups and their open roles. No spam. No gamification. Just jobs.
70,000+
Startups
82,000+
Open Roles
4,600+
New This Week
Solid understanding of databases (SQL and NoSQL), APIs, and microservices.
Hands-on DevOps experience: Docker, Kubernetes, CI/CD pipelines, cloud environments (AWS, GCP, or Azure).
Strong knowledge of system design, scalability, and performance optimization.
Proven ability to work autonomously with minimal supervision.
Budget for training and professional growth
Scandinavian leadership focused on well-being and work–life balance