Technical Product Manager - Enterprise Products

NVIDIA; California; On-site; USD 208,000 - 328,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA seeks a Technical Product Manager for Enterprise Products to lead product strategy and drive roadmaps across cloud and on‑prem environments. You will own API integrations, network automation, and reference implementations, partnering with engineering, security and field teams to deliver scalable, secure solutions.

The role blends leadership with hands‑on development, DevOps, and lifecycle workflows, emphasizing reliability, observability, and strong communication of technical tradeoffs to

Qualifications

• Translate customer problems into roadmaps and prioritize work.
• Experience owning requirements and delivery outcomes.
• 13+ years building and shipping enterprise software, hardware, or infra.

Responsibilities

• Own product strategy and roadmaps for enterprise products.
• Design and implement data center and hybrid-cloud networks.
• Write API integrations and reference implementations.
• Develop self-service provisioning and IaC workflows.
• Measure adoption, reliability, and performance with metrics.
• Communicate vision and tradeoffs to partners and leadership.

Skills

Roadmapping

Cross-functional leadership

APIs & integrations

DevOps

IaC

Security & identity

Networking

Education

BS in CS/EE or related field, or equivalent experience

Tools

Kubernetes

GitOps

CI/CD

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.

What You’ll Be Doing

• 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/

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.

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.