Technical Product Manager - Enterprise Products

NVIDIA Corporation; California City (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equity and benefits

Job summary

NVIDIA Corporation’s Enterprise Product Group is seeking a Technical Product Manager for Enterprise Products to bridge strategy and hands-on development across cloud and on-prem environments.

You will design APIs, network integrations, and automation, and work with developers, partners, and NVIDIA teams to translate customer problems into roadmaps and coordinate delivery.

Qualifications

• 12+ years delivering enterprise software, hardware, or platform infrastructure.
• Experience with data center networking and cloud/hybrid environments.
• Proven ability to design APIs, automation, and self-service provisioning.

Responsibilities

• Lead product direction for enterprise and community developers across cloud and on-prem environments.
• Collaborate with partners and NVIDIA teams to define roadmaps and deliver APIs and integrations.
• Define acceptance criteria, runbooks, and transition services to sustainment with testing and rollback procedures.

Skills

Enterprise product leadership

Network design/operation

DevOps automation

API development

Education

CS/EE degree or equivalent

Tools

Git

Kubernetes

CI/CD

Infrastructure as Code

Prometheus/Grafana

Job 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.

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

Balance NVIDIA’s priorities, developer feedback, market and community trends, adoption data, and engineering constraints.

Design and implement data center and hybrid-cloud networks. validate capacity, performance, tenant isolation, and failover.

Write API integrations, network automation, and reference implementations in Python, Go, or a comparable language. 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.

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. 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. We need practical DevOps experience with Linux, Kubernetes, Git, CI/CD, infrastructure as code, and observability. A degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.

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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 15, 2026. NVIDIA uses AI tools in its recruiting processes.

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.