Engineering Manager - Video Analytics

**Job Title** ------------- Engineering Manager - Video Analytics **Job Description** ------------------- *Axis is hiring an Engineering Manager on the French Riviera, where the Alps meet the sea!* *Lead our Sophia-Antipolis video analytics team and help shape the future of AI-based analytics running on millions of cameras worldwide.* *Do you get your energy from developing people and helping a team deliver? Do you want to work with cutting-edge AI where you have real influence on product direction? As Engineering Manager – Video Analytics, you will make sure our engineers have the support, structure and coaching they need to build products that matter.* **Who is your future team?** ---------------------------- We are an international team of around 15 computer vision and graphics, AI and software engineers in Sophia-Antipolis. Today the team is organized into sub-teams that form around the features and products we build. We also work hand in hand with a dedicated QA team based on the same site. Together we cover the full chain of video analytics: research, data, algorithm and product development, accuracy evaluation and quality assurance to deliver and maintain market-ready products. We work closely with the other analytics teams across Axis R&D sites as well as other software, hardware and product management teams. Our secret? Passion, kindness and knowledge sharing, all in a great place to live and work. **What you'll do here as Engineering Manager?** You will lead the team and report to the Site Manager. This is a hands-on role: beyond people management, you will do project management work and own how the team plans and delivers – backlog, priorities, project coordination, and the path from innovation work to product. As AI changes the way software is built, this role will evolve too: you will help define what engineering management looks like in an AI-augmented team, and how planning, delivery and people development adapt. Your main tasks will be to: * **Lead, inspire and develop** your engineers, balancing the needs of the company with the needs of each individual. * **Own planning and the backlog** : set priorities with engineering and product stakeholders, and work with tech leads, QA and product owners. * **Be accountable for delivery** : make sure the team meets its commitments and that progress is visible to stakeholders. * **Drive continuous improvement** of how the team works: processes, AI-enabled tools and engineering practices. * **Support and improve how the team is organized** : provide operational support to the sub-teams and their leads and adapt our setup as features and products evolve. * **Turn innovation into product** : ensure research initiatives are clearly scoped and followed up, and that the most promising ones make it efficiently into product features. * **Contribute to the technical and strategic direction** of our analytics area, together with the Analytics management te