Full-stack Software 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 at all levels—a privilege that used to be exclusive. More than 40,000 clubs in 90+ countries record their games every week.

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.

What You Will Do

• 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 to iteratively refine and improve products. Our teams truly 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.

What You Could Bring

• 5+ years of software engineering experience
• Expertise in building intuitive, responsive tools, with proficiency in both backend (e.g., Python, TypeScript, Node.js, SQL) and frontend technologies (TypeScript, React)
• An interest in video technologies or sports
• 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 building and operating large-scale systems
• An eye for architecture: understanding 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 principles

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 match every qualification listed. What matters most is your creativity, potential, and ability to contribute meaningfully.