Senior Product Manager – AI Infrastructure

Job not on LinkedIn

🔥 5 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

✅ Product Manager

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SpiNNcloud

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

🏭 Manufacturing

💼 Consulting

📦 Logistics

Manufacturing • Consulting • Logistics

SpiNNcloud is an AI hardware company developing brain-inspired (neuromorphic) supercomputing infrastructure optimized for ultra energy-efficient inference of next-generation generative AI. Its SpiNNaker2 and SpiNNext chip families and system architecture use event-based, dynamic-sparsity computation to deliver orders-of-magnitude better energy efficiency than conventional GPUs, and are designed to scale to supercomputer levels while serving research institutions and commercial AI inference workloads. SpiNNcloud aims to democratize AI infrastructure by reducing the energy cost of running large models.

📋 Description

• Own the end-to-end lifecycle of the AI inference product direction • Conduct market discovery and competitive intelligence • Define product requirements and execute the product roadmap • Drive go-to-market readiness • Partner with Engineering and Research and collaborate with Marketing and Sales • Build understanding of the AI inference and LLM market, including buyer needs, adoption patterns, evaluation criteria, and emerging trends • Identify high-value segments and use cases based on cost, performance, latency, throughput, energy, and deployment model • Maintain an up-to-date view of competitors and alternatives, including chips, systems, cloud offerings, and inference stacks • Translate competitive insights into positioning, requirements, and roadmap priorities • Define product requirements, milestones, and success metrics with Engineering and Research • Drive roadmap prioritization with clear tradeoffs and rationale • Partner with Marketing on messaging, launches, and content strategy • Support Sales with pitch narratives, competitive battlecards, FAQs, case studies, and evaluation guidance • Create technical content such as blogs, whitepapers, solution briefs, product documentation, and presentations • Analyze benchmarks, workload characteristics, and performance/efficiency tradeoffs • Build lightweight Python tools and scripts to validate assumptions and support product decisions

🎯 Requirements

• Strong semiconductor and accelerator expertise, including familiarity with GPUs and TPUs • Understanding of customer evaluation of hardware and system trade-offs, including 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 • 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 • Ability to produce clear technical narratives and enablement content for internal and external audiences • High ownership and strong stakeholder management • Ability to drive decisions, align cross-functional teams, and deliver outcomes

🏖️ Benefits

• Full-time employment • Remote work