Technical Product Manager - Enterprise Products
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 2d ago
The date the source published, not the day we noticed it (2026-10-11). Last seen at its source just now.
We have tracked this listing since 12 Oct 2026 (1 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$208k–327.8k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Workday employer's own board first seen 1d ago · last seen just now
- location not stated
The listing
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/
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.
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.