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Welcome to the AISamples wiki! 90-Day Plan – Senior Product Manager, NVIDIA (AI/LLM Platforms) 0–30 DAYS: Deep Immersion & Technical Grounding

• Meet key engineering, research, GTM, and customer engineering stakeholders.
• Deep dive into Triton, TensorRT-LLM, NeMo, NIM, CUDA fundamentals, DGX Cloud.
• Competitive analysis: Vertex, SageMaker, OpenVINO, vLLM.
• Deliverables: Situational Assessment, Stakeholder Map, Technical Gap Log, Adoption Insights. 31–60 DAYS: Strategy, Priorities & Roadmap
• Conduct 15–20 customer + partner interviews.
• Define North Star Vision for NVIDIA’s enterprise LLM inference stack.
• Roadmap: speculative decoding, FP8 optimizations, observability module, enterprise controls.
• Deliverables: Product Vision Doc, 6-month roadmap, RICE prioritization, GTM alignment deck. 61–90 DAYS: Execution, Delivery & Scaling
• Weekly execution syncs with engineering (latency, GPU utilization, model loading).
• Launch 1–2 key features: Inference Observability, Auto-Optimizer Pipeline, Governance Layer.
• Customer evangelism: blogs, demos, roadmap presentations.
• Deliverables: Execution Report, P0 Feature Launch, Updated Roadmap, CAB Insights. Outcome
• Recognized as strategic PM shaping NVIDIA’s AI platform roadmap.
• Deep credibility across engineering + research.
• Strong customer-backed roadmap with measurable impact.