AI Cloud Networking Product Architect - Stock Options

Netris

Santa Clara (CA)

On-site

USD 200,000 - 400,000

Full time

3 days ago
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Benefits offered by this job

Stock options
Medical insurance
Vision insurance
Dental insurance
401(k)
Disability insurance
Flexible PTO

Job summary

Netris is leading the AI cloud networking space, seeking a senior product professional who bridges deep network engineering and product thinking. You will translate how networks are built and operated into requirements, designs, and UX decisions for the Netris platform.

You will report to the Head of Product and collaborate with Customers, Engineering, and Customer Success to ensure products reflect real infrastructure workflows at scale.

Qualifications

  • Hold a CCIE R&S, CCIE Data Center, or equivalent certification.
  • 7+ years designing and implementing scalable network architectures.
  • Fluent in EVPN/BGP and understand control plane behavior and route propagation.
  • Understand lossless Ethernet concepts: PFC, ECN, DCQCN.
  • Translate network instrumentation and workflows into product requirements and UX guidance.
  • Able to write a spec an engineer can build from and a designer can act on.

Responsibilities

  • Translate network patterns into product requirements, specs, and UX guidance for Engineering.
  • Own product intent behind core networking constructs (underlay, EVPN/BGP, lossless Ethernet).
  • Conduct structured discovery with customers to extract pain points and turn them into specs.

Skills

CCIE R&S
CCIE Data Center
EVPN/BGP
7+ years network design
Lossless Ethernet (PFC, ECN, DCQCN)
Product specs writing
Instrumentation to UX
Product design guidance

Tools

Terraform
Ansible
SONiC
Cumulus Linux
Arista EOS

Job description

Netris is leading the AI cloud networking space, seeking a senior product professional who bridges deep network engineering and product thinking. You will translate how networks are built and operated into requirements, designs, and UX decisions for the Netris platform.

You will report to the Head of Product and collaborate with Customers, Engineering, and Customer Success to ensure products reflect real infrastructure workflows at scale.

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