Note: The job is a remote job and is open to candidates in USA. NVIDIA is redefining analytics for the agentic datacenter, and they are seeking an outstanding Senior Product Manager to define and drive their strategy for agentic data analytics. The role involves identifying opportunities for investment in models, tools, and services while engaging with various stakeholders to ensure customer needs are met and integrated into product roadmaps.
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, ISVs, storage partners, CSPs, 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
Skills
- 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
- 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
Benefits
- Equity
- Benefits
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