Senior Product Manager (AI Infrastructure)

TL;DR

Senior Product Manager (AI Infrastructure): Own the end-to-end lifecycle of AI inference product direction including market discovery, competitive intelligence, requirements definition, roadmap execution, and go-to-market readiness. With an accent on building sharp understanding of AI inference and LLM market, identifying high-value segments and use cases, and translating competitive insights into positioning and roadmap priorities. Focus on defining product requirements with Engineering and Research, driving prioritization with tradeoffs, and creating technical storytelling for stakeholders.

Location: Dresden, Germany

Company

hirify.global develops AI infrastructure focused on inference products for high-performance computing.

What you will do

• Conduct market research on AI inference and LLM buyer needs, adoption patterns, evaluation criteria, and trends.
• Identify high-value segments and use cases based on cost, performance, latency, throughput, energy, and deployment models.
• Perform competitive and ecosystem analysis on chips, systems, cloud offerings, and inference stacks.
• Define product requirements, milestones, success metrics, and drive roadmap prioritization with Engineering and Research.
• Partner with Marketing on messaging, launches, content strategy, and support Sales with enablement assets.
• Create technical content like blogs, whitepapers, and presentations, and perform hands-on data analysis with Python tools.

Requirements

• Strong semiconductor and accelerator expertise, including GPUs, TPUs, and hardware/system trade-offs like performance, throughput, latency, deployability, and efficiency.
• Machine learning depth, ideally with university degree/PhD or significant experience in ML, AI systems, inferencing concepts.
• Ability to translate technical insights into product strategy, segmentation, positioning, requirements, and roadmap.
• Experience working with Engineering and Research in complex environments, driving alignment and execution.
• Basic programming proficiency and comfort with technical artifacts.
• Strong communication skills for technical narratives and stakeholder management with high ownership.