3 months ago

Senior Product Manager, Local AI and Agents for Enterprise

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Lead the enterprise agent use case and Linux developer experience for local AI on NVIDIA client platforms. Collaborate with cloud backend PMs to prioritize local AI needs, research enterprise AI workflows, and guide cross-functional teams to ship features that enable on-prem deployment, fine-tuning, and agent workflows for enterprise customers.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Seniority: Sr. Manager level

Key Responsibilities

•Define and lead the enterprise agent use case — understand how enterprises deploy agents on-prem, what they need from the platform, and where NVIDIA should invest.
•Collaborate with Product Managers working on cloud inference backends to drive and prioritize requirements for local AI.
•Own the product strategy and roadmap for the Linux developer experience on NVIDIA client platforms (DGX Spark, DGX Station, RTX PRO workstations, RTX Spark).
•Research the developer and enterprise AI ecosystem: interview customers, build personas and user journeys, and map workflows across training, fine-tuning, inference, and agent deployment.
•Lead cross-functional teams — engineering, DevRel, marketing, partnerships — to ship features and grow adoption.

Pay and Benefits

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•8+ years of product management experience, with meaningful time on AI/ML, developer tools, or infrastructure products
•Hands-on experience as a developer or engineer with production code and debugging CUDA, PyTorch, or Docker issues
•Deep familiarity with modern AI workflows (training, fine-tuning, inference, agent deployment)
•Working knowledge of at least one major inference backend (vLLM, SGLang, TensorRT-LLM, or PyTorch-based serving)
•Fluency in Linux as a development and deployment environment

Experience:8+ yearsAI/MLDeveloper toolsEnterprise softwareLinuxGPU hardware

Education:Bachelor's

Skills:CommunicationLeadershipProblem-solving

Tech Stack:CUDAPyTorchDockerLinuxTensorRTVLLMSGLang

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

3 months ago

Senior Product Manager, Local AI and Agents for Enterprise

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Seniority: Sr. Manager level

Key Responsibilities

•Define and lead the enterprise agent use case — understand how enterprises deploy agents on-prem, what they need from the platform, and where NVIDIA should invest.
•Collaborate with Product Managers working on cloud inference backends to drive and prioritize requirements for local AI.
•Own the product strategy and roadmap for the Linux developer experience on NVIDIA client platforms (DGX Spark, DGX Station, RTX PRO workstations, RTX Spark).
•Research the developer and enterprise AI ecosystem: interview customers, build personas and user journeys, and map workflows across training, fine-tuning, inference, and agent deployment.
•Lead cross-functional teams — engineering, DevRel, marketing, partnerships — to ship features and grow adoption.

Pay and Benefits

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•8+ years of product management experience, with meaningful time on AI/ML, developer tools, or infrastructure products
•Hands-on experience as a developer or engineer with production code and debugging CUDA, PyTorch, or Docker issues
•Deep familiarity with modern AI workflows (training, fine-tuning, inference, agent deployment)
•Working knowledge of at least one major inference backend (vLLM, SGLang, TensorRT-LLM, or PyTorch-based serving)
•Fluency in Linux as a development and deployment environment

Experience:8+ yearsAI/MLDeveloper toolsEnterprise softwareLinuxGPU hardware

Education:Bachelor's

Skills:CommunicationLeadershipProblem-solving

Tech Stack:CUDAPyTorchDockerLinuxTensorRTVLLMSGLang

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor