GeneralPlan, establish, and manage digital engineering and IT projects and will serve as a liaison between the business and technical aspects of assigned projects.Track project performance periodically to ensure both short-term and long-term goals are met.Ensuring compliance with objectives, organizational policies, procedures, and standards.Lead product and services evaluation, contract negotiation and establishment.
Stakeholder managementLiaising with stakeholders such as project personnel, vendors, and end-users regarding project requirements.Team management.Create and maintain the stakeholder register.
Scope managementCreate and maintain the project management plan.Perform change management.
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Perform pricing and profit test of products using established models
Ensure compliance with internal product and pricing policies, processes, profit margins and external regulatory guidelines to obtain approval / filing for product launches
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ParcelDaily is seeking a Quality Assurance (QA) Intern to work closely with developers, product, customer service, and operations to test and improve the ParcelDaily platform. The role involves testing workflows, courier integrations, parcel bookings, payment transactions, tracking updates, and other features used by customers.
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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Assist in building AI-powered automation workflows for digital marketing, lead management, reporting, CRM, WhatsApp, websites, and internal operations.
Support the integration of LLM models such as OpenAI, Anthropic Claude, Gemini, or similar AI platforms into business workflows.
Assist in developing and connecting APIs, REST APIs, webhooks, JSON data flows, and backend logic.
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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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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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