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Axross is seeking a mid-level sales professional in Kuala Lumpur to drive new business for an AI-driven HVAC optimization product. You will initiate conversations with customers, coordinate onsite visits, and translate findings into compelling business cases and proposals.
Some travel within Southeast Asia is required. The role emphasizes explaining data-driven solutions in simple terms, understanding client priorities, and collaborating with engineers to turn insights into value.
Sales · MY / Kuala Lumpur, Federal Territory of Kuala Lumpur, MY / Penang, MY · Full-time · Mid level
The role is about finding and developing new business for an HVAC optimization product, running early conversations with customers, and coordinating site visits to understand what data and constraints exist. A strong candidate can ask good discovery questions, explain a technical product in plain terms, and work with engineers to turn findings into a clear business case and proposal. Consistent follow up across several opportunities and travel within Southeast Asia are part of the job.
The product itself is AI driven, so the sales work centers on helping customers understand what the optimization can realistically deliver and what data is needed to assess it. AI can speed up analysis and proposal drafting, but trust building, site judgment, and reading a customer's operating priorities stay human. The role sits between the technology and the customer's real world constraints.
Working here builds familiarity with how AI optimization applies to HVAC and energy use in factories, data centres, and cleanrooms, including what data feeds it and how savings are measured. A candidate can prepare by learning basics of HVAC and building management systems and by practicing how to frame energy and return on investment numbers for technical and business audiences. Experience explaining data driven tools to non technical buyers is worth building.
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Automated HVAC optimization software reducing industrial electricity consumption and stabilizing cleanroom climate conditions.