Senior Fullstack Engineer

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.

But what truly sets us apart? Our people. We’re a diverse group of innovative thinkers, creators, and problem-solvers who believe in delivering an incredible product—and having fun while doing it.

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.

• Collaborate with product managers, designers, engineers and a world-class AI team to deliver products that empower coaches, players, and their supporters.
• 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.
• Leverage and enhance Veo’s design system to create intuitive user experiences.
• Participate in technical discussions, reviews, and decisions to shape Veo’s technology landscape.
• Leverage and enhance Veo’s design system to create intuitive user experiences.
• Participate in technical discussions, reviews, and decisions to shape Veo’s technology landscape.

• 5+ years of software engineering experience.
• Expertise in building intuitive, responsive tools and working and a proficiency in both backend- (e.g., Python, TypeScript, Node.js, SQL) and frontend technologies (TypeScript, React).
• Experience with data processing pipelines.
• An interest in video technologies or sports.
• A foundational understanding of machine learning and computer vision techniques (core principles)
• 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 it comes to building and operating large-scale systems.
• An eye for architecture: you can discuss the tradeoff between architectural choices
• A knack for data analysis and visualization

Values We Hold at Veo

Dare - We take initiative, stay curious, and challenge the status quo in our work.

Own it - We drive impact by identifying opportunities, taking responsibility, and confidently executing.

Level up - We embrace growth, continuously learning and shaping our skills.

Play as a team - We collaborate across a diverse organization, leveraging shared insights for stronger outcomes.

Customer Centric - We deliver value by having close partnerships and a deep understanding of our customers (internally and externally)

We value diversity and inclusion and welcome applicants from all backgrounds, even if your experience doesn’t completely match every qualification listed. What matters most is your creativity, potential, and ability to contribute meaningfully.