Drive proposal and tender quality - Author solution write-ups, bills of materials, and scopes of work that strengthen win rates, including submissions for regulated industries such as oil & gas.
Advise on IT and infrastructure integration - Guide client IT teams through deployment considerations including cloud vs. on-premise architecture, network and connectivity requirements, API integration, and dashboard/digital twin setup.
Build internal technical capability - Develop playbooks, FAQs, and training materials that raise the sales team's technical fluency and reduce dependency on ad hoc engineering support.
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Partner with AI engineers and developers — including agentic AI initiatives such as multi-agent orchestration systems, natural-language query layers over real-time vision event data, and LLM tool-use and automation — to scope, estimate, and sequence work accurately.
Develop detailed project plans, timelines, and resource allocation; monitor progress and report against KPIs.
Serve as the primary point of contact for clients, managing communication and expectations across technical and business audiences.
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Position yourself to mentor junior sellers and take ownership of go-to-market plans that shape our regional growth.
Ready to lead sales that turn tech into measurable business results? Bring your commercial drive to real client work, working with us at Comm-IT Consultancy Services Sdn. Bhd. to help Malaysian organisations adopt practical software and IT solutions that improve efficiency and outcomes.
As Sales Manager you will build and scale a sales engine: design and execute the sales plan, work with delivery teams, and manage the full sales cycle from pre-sales to post-sales. You will grow existing accounts by advising on technology roadmaps, identify new market segments with fresh ideas, and prepare proposals and tender submissions. You will also be responsible for meeting sales targets and gross margin, monitoring invoicing and receivables, keeping customer documentation current, and tracking partner products and competitor activity while responding promptly to high priority issues.
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Full Stack EngineeringFrontend: React, Next.js, TypeScript, modern component architectures, state management, real-time and streaming AI interfaces, agent activity and execution interfaces, data visualization.Backend: Node.js, TypeScript, Python, REST APIs, GraphQL, WebSockets and streaming, event-driven architectures, background workers, job queues, distributed systems, authentication and authorization.
Distributed SystemsDesign systems that reliably execute thousands or millions of AI and data-processing tasks. Kubernetes, Docker, Cloud Run and serverless, message queues, Redis, Kafka or equivalent, distributed job processing, concurrency management, rate limiting, retries, idempotency, fault tolerance, observability. You know how to build systems that stay reliable when agents fail, APIs time out, models hallucinate, or downstream services go away.
Data & Learning InfrastructureBuild the infrastructure agents need to learn from historical executions. PostgreSQL, BigQuery or equivalent data warehouses, ClickHouse or analytical databases, vector databases, embeddings, retrieval systems, event logs, feature stores, analytics pipelines, data ingestion.
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