---
title: Technical Product Manager Enterprise Products at NVIDIA
description: NVIDIA is hiring for the Technical Product Manager Enterprise Products role. Pays
  $208K–$327.8K per year. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/technical-product-manager-enterprise-products-at-nvidia-01a12d57-8b43-77bd-b610-51d7380d24c9
date: 2026-10-12T00:15:42Z
og_description: Join NVIDIA as Technical Product Manager Enterprise Products. Pays $208K–$327.8K
  per year. Hybrid role.
og_image: https://www.foundrole.com/og/bi01qp.png
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  - label: Home
    url: https://www.foundrole.com/
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---

| | |
|---|---|
| **Company** | [NVIDIA](https://www.foundrole.com/companies/nvidia?utm_source=ai_markdown) |
| **Location** | California (Hybrid) |
| **Salary** | $208K/yr - $327.8K/yr |
| **Posted** | Oct 10, 2026 |
## Description

Enjoy writing code and engineering networks while defining product direction? Join us as a Technical Product Manager for Enterprise Products! In NVIDIA’s Enterprise Product Group, we help enterprise and community developers use NVIDIA software and hardware across cloud and on-premises environments. Combine product leadership with hands-on development, network architecture, and DevOps to build APIs, interface layers, and integrations across our developer portfolio.

**What you’ll be doing:**

We collaborate with developers, strategic partners, cloud providers, and NVIDIA engineering teams to deliver supported solutions:

- Own product strategy and roadmaps. Balance NVIDIA’s priorities, developer feedback, market and community trends, adoption data, and engineering constraints.
- Design and implement data center and hybrid-cloud networks. Define routing, segmentation, secure access, DNS, VPNs, and load balancing; validate capacity, performance, tenant isolation, and failover.
- Write API integrations, network automation, and reference implementations in Python, Go, or a comparable language. Build and test proofs of concept with partners and internal teams.
- Develop self-service provisioning and lifecycle workflows with infrastructure as code, GitOps, CI/CD, configuration drift detection, and rollback. Deploy and troubleshoot Linux and Kubernetes services; trace connectivity across physical networks, virtual infrastructure, containers, and application endpoints.
- Use metrics, logs, and actionable alerts to diagnose incidents and improve reliability. Measure adoption, provisioning time, availability, and network performance. Partner with security teams on identity, least privilege, tenant access, and data governance.
- Define acceptance criteria, document architectures and integration patterns, and transition validated services to sustainment engineering with runbooks and tested recovery procedures. Communicate product vision, launches, and technical tradeoffs to partners, developers, and leadership.

**What we need to see:**

- We value technical product leaders who translate customer problems into roadmaps, prioritize work, and coordinate delivery with engineering and partners.
- 12+ years building and shipping enterprise software, hardware, or platform infrastructure, with ownership of requirements and delivery outcomes.
- Experience designing and operating networks with TCP/IP, BGP, routing, switching, high availability, firewalls, VPNs, DNS, DHCP, and NAT.
- Experience writing, testing, and maintaining code, developing and managing APIs, and automating infrastructure. Familiarity with SDKs, frameworks, and integration tooling.
- We need practical DevOps experience with Linux, Kubernetes, Git, CI/CD, infrastructure as code, and observability. Combine IaaS, PaaS, SaaS, and on-premises components into supportable solutions; understand production security and identity; and explain architectural tradeoffs clearly.
- A degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.

**Ways to stand out from the crowd:**

- Familiarity with LLMs, RAG, and generative AI, open-source contributions, or research publications can demonstrate additional expertise
- We value AWS or Azure networking, leaf-spine fabrics, EVPN/VXLAN, SD-WAN, Helm, GitOps, and observability tools such as Prometheus or Grafana. GPU, DPU, ARM, InfiniBand, RoCE, and NVIDIA experience also helps.  

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family [www.nvidiabenefits.com/](http://www.nvidiabenefits.com/) 

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD.

You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until October 15, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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, age, marital status, veteran status, disability status or any other characteristic protected by law.
## Skills

- High Availability Systems
- Cloud Computing
- Balance Sheet
- Helm (Kubernetes)
- DevOps
- Amazon Web Services
- Dynamic Host Configuration Protocol (Dhcp)
- Open-Source Software
- Infrastructure as Code (IaC)
- InfiniBand
- IT Provisioning
- API Integration
- Grafana
- Least Privilege Access Control
- Product Strategy
- Python
- Git (Version Control System)
- Service Provisioning
- Observability
- VXLAN
- Sustainment
- Microsoft Azure
- Data Centers
- Kubernetes
- Retrieval-Augmented Generation (Rag)
- Virtual Private Networks (Vpn)
- Infrastructure As a Service (IaaS)
- CI/CD
- GitOps
- Drift Detection
- On-Premises Infrastructure
- Generative AI
- Sd-wan
- Runbook Development
- Prometheus
- Data Governance
- Failover
- Platform as a Service (PaaS)
- Market Segmentation
- GPU (Graphics Processing Unit)
- Large Language Models (Llm)
- Software Development Kit (Sdk)
- Leadership
- Network Switching
- Tenant Isolation
- Systems Integration
- Computer Science
- Border Gateway Protocol BGP
- Network Automation
- Linux
- Software as a Service (SaaS)
- Product Roadmaps
- Domain Name System
- Network Monitoring
- ARM Architecture
- Electrical Engineering
- EVPN (Ethernet Vpn)
- Transmission Control Protocol (Tcp)
- Network Address Translation (Nat)
- Writing
- Proof of Concept Development
- TCP/IP
- Generative AI Foundations
- Virtualization
- Load Balancing
- Firewall Configuration

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