Principal Solutions Architect – Pre-Sales Lead, Data Center & AI Infrastructure Networking

Stellenbeschreibung:

Responsibilities

  • Acting as the technical lead on pursuits, backing up our Business Development Managers with direction on what to pitch and how to win it.
  • Building and maintaining the offering decks, solution collateral, and reference architectures that the rest of the GTM team reuses.
  • Defining the client profiles we go after in data-center and AI- infrastructure modernization, and helping qualify the deals that come in.
  • Running technical discovery and architecture sessions with clients, alongside the BDM.
  • Turning infrastructure problems (latency, throughput, scale, cost) into proposals and SOWs, and supporting the commercial negotiation.
  • Owning solution design across datacenter fabric modernization, AI-inference readiness, SmartNIC/DPU offload, Linux networking and packet processing, segmentation and security, and hybrid-cloud networking.
  • Guiding hands‑on work across DPDK, VPP, eBPF/XDP, P4, SmartNICs/DPUs, FPGA/GPU offload, SONiC, Kubernetes networking, and Open vSwitch.

Requirements

  • 10+ years in datacenter networking, infrastructure, or systems engineering
  • A real pre‑sales or solutions architecture track record.
  • Hands‑on experience building or selling networking solutions.
  • Able to build and present proofs-of-concept, ideally with automation tooling (Python, Ansible, Terraform)
  • Strong working knowledge of several of: Linux networking, switching, and routing, SmartNIC/DPU, DPDK/VPP, FPGA acceleration, SDN data planes, Kubernetes networking, network security, virtualization, observability, and AI-infrastructure networking.
  • Comfort with enterprise procurement and long technical sales cycles.
  • The ability to hold a room of senior buyers (CIO, VP Infrastructure, VP Engineering) and make engineering depth land as business value.
  • Fluent English, B2 or above.
  • Happy to work flexible hours, including afternoon and evening calls with US clients.

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Stelleninformationen

  • Veröffentlichungsdatum:

    10 Jul 2026
  • Standort:

    Remote
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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