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About the Role

NVIDIA is seeking a Senior Product Manager to define and drive the company's strategy for agentic data analytics, focusing on AI agents that plan workflows, discover data, generate queries from natural language, and orchestrate compute within the datacenter. This role involves identifying strategic investment opportunities and adapting to a rapidly evolving market.

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.

Requirements

• 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.
• 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.

Skills

• Data Analytics
• Data/AI Infrastructure
• Accelerated Computing
• Databases
• Query Engines
• SQL
• Python
• Enterprise Data Platforms
• Agentic Workflows
• Text-to-SQL
• Semantic Layers
• Enterprise Governance and Security
• Iterative Improvement Cycles
• Product Strategy
• Technical Product Strategy
• Query Optimization
• Cost Estimation
• Workload Orchestration
• Production Scheduling
• Distributed Data Systems
• Performance Benchmarks
• TCO Models
• CPU/GPU Tradeoffs

Experience Level

• Senior

Education Level

• BS or MS Degree in a quantitative field or equivalent experience

Salary/Compensations

• 208,000 USD - 327,750 USD for Level 5
• 240,000 USD - 379,500 USD for Level 6

Benefits

• Equity
• Benefits

About the Company

• NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

Equal Opportunity

• NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.
• As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, marital status, veteran status, disability status or any other characteristic protected by law.