Technical Product Manager 

Germany | Hybrid from Heidelberg

You’ll help shape how AI workloads are scheduled and how compute resources are allocated and used.

This is an opportunity to join a growing AI infrastructure business and take ownership of key areas of its AI Scheduling & Orchestration product. You’ll work closely with engineers and customers to improve how AI workloads are managed, how compute resources are allocated and how infrastructure performance and reliability can be improved as demand grows.

The product focuses on some of the practical challenges of running AI infrastructure: workload management, resource allocation, scheduling and making the best use of expensive compute resources.

You’ll have real ownership. You’ll turn technical challenges and customer requirements into clear product decisions, influence the roadmap and drive initiatives from discovery through development, launch and iteration.

There will also be opportunities to contribute to areas such as simulation, capacity planning and workload analytics as the product develops.

This could suit you if you’re a Technical Product Manager working across cloud infrastructure, platforms, developer tooling, Kubernetes or distributed systems and want to move further into the AI infrastructure market.

You’ll need:

  • 3+ years of Technical Product Management or Product Management experience, with ownership of a technical product or significant product capability

  • Strong working knowledge of Kubernetes, including workloads, resource management and orchestration

  • Experience with scheduling, distributed systems, cloud infrastructure or related platform technologies

  • Ability to translate technical complexity and customer needs into clear requirements and product decisions

  • Experience working closely with engineers, understanding technical trade-offs and contributing to product roadmaps

  • A technical background through education or hands-on engineering experience

Experience with GPU scheduling, Kubernetes Scheduler, Kueue, Volcano, Slurm, AI/ML infrastructure, MLOps, distributed training or inference would be particularly relevant.

You’ll be based in Germany and able to work from the Heidelberg office on a hybrid basis. Some travel may be required to collaborate with the US team and customers.

If you’re interested in building products at the intersection of AI, infrastructure and resource management, I’d be happy to tell you more.