Germany | Hybrid from Heidelberg | €90,000-€100,000 base + performance incentives
You’ll own the product that decides where and when AI workloads run.
This is a chance to take ownership of an AI Scheduling product at a growing AI infrastructure business. You’ll define the multi-year product vision, decide what gets built and work directly with engineers, infrastructure teams and enterprise customers to solve the challenges of running AI at scale.
The product sits around some of the hardest practical problems in AI infrastructure: how jobs are queued, how expensive GPU resources are allocated, and how latency, reliability and performance are managed as workloads grow.
You’ll have real ownership. Rather than managing a quarterly backlog, you’ll shape the longer-term direction of the product, turn customer problems into clear product decisions and work closely with leadership and engineering to get those decisions into production.
You’ll also have direct customer exposure, giving you the opportunity to understand how organisations are actually using AI infrastructure and feed those insights back into the product roadmap.
This could suit you if you’re already a Technical Product Manager working on cloud infrastructure, platforms, developer tooling or cluster management and want to take ownership of a product at the centre of the AI infrastructure market.
You’ll need:
- 5+ years of Product Management experience, including ownership of infrastructure, platform or developer tooling products
- Experience with technologies such as Kubernetes, OpenStack, Slurm, VMware or similar
- A good understanding of cloud, compute infrastructure and how AI/ML workloads are run
- Experience creating longer-term product roadmaps and working closely with engineers and technical customers
- A technical background through education or hands-on experience
Experience in AI/ML infrastructure or MLOps would be particularly relevant.
You’ll be based in Germany and able to work from the Heidelberg office on a hybrid basis, with up to 30% travel between Germany and the US.
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Product Manager in Heidelberg Arbeitgeber: DeepRec.ai
Als Arbeitgeber bieten wir Ihnen die Möglichkeit, in einem dynamischen und innovativen Umfeld zu arbeiten, in dem Ihre Ideen und Lösungen direkt in die Praxis umgesetzt werden. Unsere Unternehmenskultur fördert Zusammenarbeit und Kreativität, während wir gleichzeitig auf individuelle Wachstumschancen setzen, um Ihre Karriere im Bereich KI-Engineering voranzutreiben. Mit einem engagierten Team und der Möglichkeit, an spannenden Projekten mit namhaften Kunden zu arbeiten, ist dies der ideale Ort für alle, die ihre Fähigkeiten in der realen Welt anwenden möchten.
