Collaborate with the sales team and lead deep-dive sessions with customers to understand their current infrastructure, pain points, and future goals, and translate them into technical solutions.
Conduct live product demonstrations, presentations, and manage Proof of Concept (PoC) evaluations to prove the value of proposed solutions.
Provide pre-sales support, including preparing bill of materials, technical proposals, and technical specifications.
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Collaborate with the sales team and lead deep-dive sessions with customers to understand their current infrastructure, pain points, and future goals, and translate them into technical solutions.
Conduct live product demonstrations, presentations, and manage Proof of Concept (PoC) evaluations to prove the value of proposed solutions.
Provide pre-sales support, including preparing bill of materials, technical proposals, and technical specifications.
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Build and lead the project delivery function: hire, mentor, and manage project managers; set delivery standards, playbooks, and KPIs.
Own portfolio-level delivery — timelines, budgets, quality — across all concurrent AI Vision, system integration, and enterprise deployment projects.
Personally lead the largest, most complex programs: CCTV / video surveillance rollouts, multi-site on-premise server and software deployments, and agentic AI initiatives (multi-agent orchestration systems, natural-language query layers over real-time vision event data, LLM tool-use and automation).
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Lead end-to-end project delivery, from technical discovery and solution scoping through on-premise deployment and final handover.
Work hands-on with CCTV / video surveillance environments — IP cameras, NVRs, video management systems (VMS), and live video feeds — to plan and execute AI Vision deployments across client sites.
Plan and oversee on-premise server and software deployment: hardware sizing, Linux environments, containers (Docker), networking, and security considerations, in partnership with our engineers.
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