Senior Product Manager – Agentic Data Analytics

NVIDIA

Senior Product Manager defining product strategy for analytics in the agentic datacenter at NVIDIA. Collaborating with teams and customers to drive innovation in data workflows and analytics systems.

Posted 6/25/2026full-timeRemote • California, New York, North Carolina, Washington • 🇺🇸 United StatesSenior💰 $208,000 - $327,750 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

equity
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Hard Skills & Tools

SQLPythondatabasesquery enginesdata analyticsdata/AI infrastructureaccelerated computingagentic workflowsproofs of conceptenterprise data platforms

Soft Skills

product strategycustomer engagementcollaborationcommunicationstrategic thinkingmanaging expectationsvoice of the customerpresenting visionpartneringiterative improvement

Certifications

BS DegreeMS Degree