VOLT AI

Solutions Engineer

• Lead customer discovery to understand goals, constraints, and site conditions; translate requirements into clear deployment plans and success criteria
• Design and validate physical security and video analytics solutions, including camera coverage, placement guidance, and system architecture aligned to customer environments
• Create and maintain accurate facility and camera maps using CAD tools (e.g., AutoCAD, Revit), covering floors, zones, key infrastructure, and naming conventions
• Install, configure, and maintain edge compute and supporting equipment in IDFs or network closets, following best practices and vendor guidance
• Plan, install, terminate, and test low-voltage cabling (Ethernet, fiber, and related infrastructure) to ensure reliable connectivity
• Organize and manage racks and enclosures with clean cable management, labeling, and documentation to simplify operations and troubleshooting
• Perform end-to-end technical validation (streams, detections, alerts, integrations, and network health); troubleshoot issues and drive rapid resolution
• Coordinate with customer IT, security, and facilities teams on network requirements, firewall rules, DNS/NTP, and access needed for smooth go-lives
• Work with external vendors and integrators to schedule site work, verify workmanship, and ensure deliverables meet requirements and timelines
• Capture field data from drawings, surveys, and site walks; maintain accurate records that reflect real-world conditions and installed state
• Build and maintain customer-facing documentation as the single source of truth, including maps, BOMs, as-builts, installation notes, configurations, and training guides
• Establish and execute QA/QC checks to ensure deployments meet standards, are consistent across sites, and are operationally ready
• Serve as technical lead during pilots and early deployments, providing on-site support, go-live readiness, and post-go-live stabilization
• Deliver clear, practical end-user training for operators and administrators, covering workflows, roles, and escalation paths
• Partner with Sales and Customer Success on demos, technical deep dives, RFP responses, and solution proposals that accurately reflect delivery capabilities
• Provide regular project updates, risks, and next steps to internal and customer stakeholders; recommend continuous improvements based on field learnings
• Stay current on relevant standards, regulations, and deployment best practices to ensure compliant, customer-ready solutions

Full-stack Engineer

• Own CRM data integrity, including custom objects and integrations, pipeline hygiene, attribution and reporting accuracy, and integration with marketing, product, and analytics systems
• Develop internal GTM tooling using code and automation, including APIs, webhooks, and event-driven integrations, Python and scripting for data processing and automation, and automation that reduces manual work for sales and marketing teams
• Integrate product usage and behavioral data into GTM systems to improve customer delight and retention, trigger contextual outreach and follow-ups, and support expansion and upsell workflows
• Build dashboards and analytics that provide funnel visibility from lead to revenue, conversion, velocity, and drop-off insights, and feedback loops for continuous GTM optimization
• Partner closely with sales, marketing, and product to translate GTM strategy into automated systems, rapidly test and iterate on GTM experiments, and scale what works while eliminating manual or low-leverage processes

GTM Engineer – Growth & Revenue Automation

DevOps Engineer

• Own end-to-end infrastructure operations spanning customer sites, edge devices, and AWS production environments
• Plan and execute customer deployments in collaboration with customer IT teams, including leading technical discussions around network architecture, security requirements, and deployment constraints, translating customer IT policies into executable deployment plans, and driving deployment readiness and timelines to ensure on-time launches
• Deploy, configure, and maintain edge compute hardware in customer environments, including installing and maintaining Linux-based operating systems, creating, deploying, and updating standardized golden images, managing OS patches, drivers, firmware, and security updates, and diagnosing hardware, OS, and performance issues remotely and on-site
• Design, integrate, and troubleshoot customer-side networking, including VLANs, firewall rules, NAT, routing, and bandwidth constraints, IP camera and video infrastructure (RTSP, ONVIF, PoE, managed switches), and operating effectively within locked-down or highly regulated networks
• Build and operate AWS-based infrastructure supporting edge systems, including Kubernetes (EKS) clusters and containerized workloads, CI/CD pipelines for deployment and upgrades, and logging, monitoring, and alerting across distributed systems
• Develop and maintain automation and internal tooling, including Python for deployment automation, operational tooling, and system workflows, shell scripting for provisioning, configuration, and diagnostics, and tools that reduce manual effort and improve deployment repeatability
• Ensure reliable edge-to-cloud connectivity and data flow, debugging failures across networking, software, and infrastructure boundaries
• Lead incident response and operational debugging across edge and cloud systems, driving issues to root cause and permanent resolution
• Own infrastructure cost visibility and optimization, including monitoring and analyzing AWS spend, implementing right-sizing, scaling, and cost controls, and working with external cost-optimization partners and tooling
• Feed real-world deployment and operations insights back into product and infrastructure design, improving reliability and scalability

Solutions Engineer

GTM Engineer – Growth & Revenue Automation

Field & Cloud DevOps Engineer – Edge Infrastructure