Senior Product Manager – AI Infrastructure

This is a fully remote position, open to applicants in Germany.

📋 Description

• Take charge of the complete lifecycle of the AI inference product strategy.

• Conduct market exploration and competitive analysis.

• Define product specifications and implement the product roadmap.

• Facilitate go-to-market readiness.

• Collaborate closely with Engineering and Research teams, as well as Marketing and Sales departments.

• Develop a comprehensive understanding of the AI inference and LLM market, encompassing buyer needs, adoption trends, evaluation criteria, and emerging developments.

• Identify high-value segments and use cases based on factors such as cost, performance, latency, throughput, energy consumption, and deployment models.

• Keep an updated perspective on competitors and alternatives, including chips, systems, cloud services, and inference stacks.

• Convert competitive insights into strategic positioning, requirements, and roadmap priorities.

• Define product specifications, milestones, and success metrics in collaboration with Engineering and Research.

• Lead roadmap prioritization with clear trade-offs and justifications.

• Partner with Marketing for messaging, product launches, and content strategy.

• Assist Sales with pitch narratives, competitive battlecards, FAQs, case studies, and evaluation support.

• Create technical content such as blogs, whitepapers, solution briefs, product documentation, and presentations.

• Analyze benchmarks, workload characteristics, and performance/efficiency trade-offs.

• Develop lightweight Python tools and scripts to validate assumptions and inform product decisions.

⛳️ Requirements

• Expertise in semiconductors and accelerators, including knowledge of GPUs and TPUs.

• Understanding of how customers evaluate hardware and system trade-offs, including performance, throughput, latency, deployability, and operational efficiency.

• Strong foundation in machine learning, ideally supported by a university degree or PhD, or considerable experience in ML, AI systems, or a related domain.

• Solid comprehension of ML concepts and inferencing.

• Proven ability to translate technical insights into product strategies, including segmentation, positioning, differentiated requirements, and roadmap prioritization.

• Demonstrated success working with Engineering and Research teams in technically complex environments, driving alignment, trade-offs, and execution.

• Basic programming skills and comfort with technical documentation.

• Excellent written and verbal communication abilities.

• Capacity to produce clear technical narratives and enablement content for both internal and external audiences.

• High ownership and adept stakeholder management skills.

• Ability to drive decision-making, align cross-functional teams, and achieve results.

🏝️ Benefits

• Full-time employment.

• Remote work.