Software Engineer - Match Report

Veo is a global leader in AI-based sports camera technology. Our innovative, fully automatic camera solution enables sports teams to record matches and training sessions without a camera operator. We’re democratizing the world of sports by granting video analysis for teams on all levels—a privilege that used to be only for the few. More than 40,000 clubs in 90+ countries record their games every week.

The Opportunity
We are looking for a skilled Full-stack Software Engineer to join our growing Berlin office and be part of the team focused on empowering coaches and players with cutting-edge tools and insights. Whether it’s crafting intuitive and responsive front-end experiences, building robust tools for video playback and analysis in the browser, or developing scalable systems, your work will shape how sports are experienced globally.

What You Will Do

1. Collaborate with product managers, designers, engineers, and a world-class AI team to deliver products that empower coaches, players, and their supporters.
2. Contribute to the full product lifecycle - ideation, development, deployment, and monitoring - while leveraging customer feedback loops to iteratively refine and improve products. Our teams really own their products.
3. Leverage and enhance Veo’s design system to create intuitive user experiences.
4. Participate in technical discussions, reviews, and decisions to shape Veo’s technology landscape.

What You Could Bring

• 5+ years of experience in software engineering.
• Expertise in building intuitive, responsive tools with proficiency in both backend (e.g., Python, TypeScript, Node.js, SQL) and frontend technologies (TypeScript, React).
• Experience with video technologies or sports applications.
• A collaborative spirit and the ability to work effectively across disciplines. A growth mindset, focused on continuous improvement and learning.
• A problem-solving mindset and clear understanding of what works when building and operating large-scale systems.
• An eye for architecture: the ability to discuss tradeoffs between architectural choices.
• A knack for data analysis and visualization.
• Experience with data processing pipelines.
• A foundational understanding of machine learning and computer vision techniques.