Senior Product Manager – AI Infrastructure

• 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

• 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

• Full-time employment
• Remote work