About the job
We're redefining analytics for the agentic datacenter, where AI agents plan workflows, discover data, generate queries from natural language, choose execution paths, learn from experience, and orchestrate compute within the datacenter. This new era requires analytics systems that understand user intent and semantic context, handle sophisticated workflows, and route work intelligently across different hardware and systems based on latency, cost, scale, and other metrics depending on business need. Want to help make this future a reality? We’re looking for an outstanding Senior Product Manager to define and drive NVIDIA’s strategy for agentic data analytics. You’ll identify the right opportunities for NVIDIA to invest in across models, skills, tools, CUDA-X libraries, services, partner integrations, and enterprise go-to-market motions, while keeping an open mind on prioritization as the market evolves rapidly.
Responsibilities
Define, own, and drive the product strategy for analytics in the agentic datacenter, connecting agent workflows, text-to-SQL, semantic context, query execution, and intelligent workload routing
Engage deeply with customers, partners, and open-source communities to discover underlying needs, owning the voice of the customer and incorporating insights into roadmaps and priorities
Establish success metrics and requirements for agentic analytics workflows where latency, throughput, cost, correctness, and infrastructure utilization all matter
Collaborate with Engineering, Research, DevRel, Field, and Enterprise teams to create agentic analytics architectures and reference blueprints
Serve as the point person for presenting vision, opportunities, and progress, setting expectations and managing internal and external collaborators
Qualifications
Minimum
BS or MS Degree in a quantitative field (e.g., Computer Science, Applied Math, Computational Science, Engineering, etc.) or equivalent experience
12+ years of product management, technical product strategy, or similar background in data analytics, data/AI infrastructure, or accelerated computing
Strong technical proficiency with databases, query engines, SQL, Python, and enterprise data platforms, with the ability to rapidly prototype agentic workflows, build proofs of concept, and get hands-on as a builder
Experience building agentic products or workflows for data analytics involving text-to-SQL, semantic layers, enterprise governance and security, iterative improvement cycles, etc.
Track record of crafting strategy in ambiguous technical markets, partnering across engineering/research/open-source ecosystems, and communicating value propositions clearly to technical and non-technical audiences
Preferred
Experience building evaluation datasets and improving agentic analytics systems across critical factors, including generated query correctness, cost, latency, and failure recovery
Familiarity with query optimization and cost estimation, workload orchestration, or production scheduling in distributed data systems
Experience translating performance benchmarks, TCO models, or CPU/GPU tradeoffs into product strategy and customer-facing value propositions