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(Senior)Product Manager - AI Infrastructure at SpiNNcloud Systems. Location Information: Anywhere in the World. . 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.