SpiNNcloud Systems: (Senior)Product Manager - AI Infrastructure

Headquarters: Dresden, Deutschland The Role We are hiring a Product Manager or Senior Product Manager to own the end-to-end lifecycle of our AI inference product direction. This includes market discovery and competitive intelligence, requirements definition, roadmap execution, and go-to-market readiness. You will partner closely with Engineering and Research and collaborate with Marketing and Sales to translate technical differentiation into clear product narratives and measurable customer value. Key Responsibilities - Market research & strategy - build a sharp understanding of the AI inference and LLM market (buyer needs, adoption patterns, evaluation criteria, and emerging trends) - identify high-value segments and use cases where we can win (cost, performance, latency, throughput, energy, deployment model, etc.) - Competitive & ecosystem analysis - maintain an up-to-date view of competitors and alternatives (chips, systems, cloud offerings, and inference stacks) - translate competitive insights into positioning, requirements, and roadmap priorities - Requirements & roadmap ownership - work with Engineering and Research to define product requirements, milestones, and success metrics - drive roadmap prioritization with clear tradeoffs and rationale - ensure execution stays connected to customer needs and measurable outcomes - GTM + sales enablement - partner with Marketing on messaging, launches, and content strategy - support Sales with enablement assets: pitch narratives, competitive battlecards, FAQs, case studies, and evaluation guidance - Technical storytelling & content - create crisp, credible technical content (blogs, whitepapers, solution briefs, product docs, and presentations) - articulate “why we win” clearly to technical and business stakeholders - Hands-on analysis - use data to drive decisions: analyze benchmarks, workload characteristics, and performance/efficiency tradeoffs - build lightweight Python tools/scripts to validate assumptions and support product decisions Qualifications The more of the following qualifications you bring, the stronger the fit for this role: - Strong semiconductor and accelerator expertise , including familiarity with GPUs and TPUs, and an understanding of how customers evaluate hardware and system trade-offs such as performance, throughput, latency, deployability , and operational efficiency. - Strong machine learning depth, ideally supported by a university degree /PhD or significant experience in ML, AI systems, or a related area, with a solid understanding of ML concepts and inferencing. - Demonstrated ability to translate technical insight into product strategy, including segmentation, positioning, differentiated requirements, and roadmap prioritization. - Proven effectiveness working with Engineer...