(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 Engineering and Research teams in technically complex environments, driving alignment,  trade-offs, and execution.   Basic programming  proficiency  and comfort working with technical artifacts.   Strong written and verbal communication skills, including the ability to produce clear technical narratives and enablement content for internal and external audiences.   High ownership and strong stakeholder management, with the ability to drive decisions, align cross-functional teams, and deliver outcomes. To apply: https://weworkremotely.com/remote-jobs/spinncloud-systems-senior-product-manager-ai-infrastructure