Key skills
Enterprise network engineeringInfrastructure architectureNetworking fundamentalsCybersecurity fundamentalsExecutive communicationAI-driven deploymentsCloud networkingRelevant certificationsCustomer-facing rolesIndependent operationGoAIComputer VisionAWSAzureGCPCommunicationSales
About this role
Voxel is transforming workplace safety and operational efficiency through AI-driven computer vision technology. As a Senior Solutions Engineer, you will own the technical relationship with customers throughout the lifecycle, ensuring successful deployment and integration of Voxel's platform in complex environments.
Responsibilities:
- Lead technical discovery and architecture discussions with enterprise IT and security teams during pre-sales engagements and post sales/deployment architecture
- Validate network readiness and design scalable, secure deployment architectures across distributed sites
- Partner closely with Sales to remove technical blockers and increase deal confidence
- Own technical implementation strategy post-signature, ensuring smooth rollout across multi-site environments
- Serve as senior escalation point for network and infrastructure challenges during deployment
- Translate complex technical requirements into clear, executive-ready summaries and action plans
- Develop standardized implementation playbooks and best practices to scale enterprise deployments
- Provide structured feedback to Product and Engineering to improve deployment efficiency and integration flexibility
Requirements:
- 8–12 years of experience in enterprise network engineering, infrastructure architecture, or customer-facing technical roles
- Significant experience working directly with enterprise IT and security stakeholders
- Deep expertise in networking and cybersecurity fundamentals (TCP/IP, routing, switching, VLANs, firewalls, VPNs, Proxies, SD-WAN)
- Proven ability to own complex technical workstreams from discovery through go-live
- Strong executive communication skills and comfort influencing Director/VP-level stakeholders
- Demonstrated success operating independently in high-growth or ambiguous environments
- Experience supporting AI-driven deployments
- Familiarity with cloud networking (AWS/Azure/GCP)
- Background in warehouse, logistics, manufacturing, or industrial environments
- Relevant certifications (CCNP, CCIE, CISSP, etc.)