CEO Office - Expansion

McEasy, a transportation management solution to simplify complex logistics operations. is looking for a CEO Office - Expansion to join our ever-growing team. If you are a keen learner, self-driven, and looking to be a part of a team that is passionate with helping each other, we want to hear from you. - Identify and validate ecosystem monetization opportunities adjacent to McEasy's FMS (Fleet Management System) customer base. - Build the business case for each opportunity: market sizing, unit economics, pricing, partner economics, and explicit go/no-go criteria. - Source, negotiate, and onboard external partners (distributors, insurers, banks and card issuers, fleet traders) and own the initial commercial relationship. - Design and run pilots with existing McEasy customers, going to market through the Chief Business & Commercial team as the sales channel. - Own the revenue target for validated ecosystem lines; report progress, learnings, and scale/kill decisions to the CSO and C-level. - Hand over proven lines to Commercial and Product with a documented playbook, pricing, and operating model. - Min. Bachelor's Degree from any major - 5+ years of relevant experience - Business development / partnership experience — has personally sourced, negotiated, and signed commercial partnerships, not only supported them - Direct exposure to at least one of: logistics/transportation, insurance or insurtech, automotive aftermarket & spare parts, fuel/fleet card, or vehicle financing & leasing - Commercial modelling — able to build unit economics, P&L, and pricing scenarios from a blank spreadsheet - Data-comfortable — able to segment an existing customer base to locate monetizable demand - Experiment design — runs pilots with an explicit hypothesis, one success metric, and a pre-agreed kill threshold - Track record of taking a new product or revenue line from zero to first paying customers - Executive-level written and verbal communication in Bahasa Indonesia and English - High autonomy and tolerance for ambiguity; comfortable being measured on outcomes rather than activity