LINE MAN Wongnai

LINE MAN Wongnai is Thailand’s Leading On-Demand Delivery and Lifestyle e-Commerce platform services. We build technology to help Thai people live better, to empower all local businesses by creating an end-to-end food ecosystem through our channel LINE MAN and Wongnai. Connected consumers, riders, and local businesses and improved the daily life of all parties with restaurants nationwide. And because we are local, we provide the deepest variety and services that are tailor-made for Thai people.

• Proactively identify opportunities to improve packaging and pricing across our product lines – including Wongnai POS, integrated payment services, and other merchant digital solutions
• Build the business case: quantify impact, stress-test hypotheses, and ground proposals using evidence-based approach (benchmarking, data modeling, experimentation) to drive decisions with confidence
• Present your proposal directly to the CEO and business leaders, and take ownership of the proposed uplift to P&L

• Partner with cross-functional teams to rollout pricing initiatives
• Run experiments (e.g. A/B tests, phased rollouts, pilot cohorts) or deploy risk-mitigating approaches ahead of full launch wherever feasible
• Own the accuracy and consistency of pricing-facing materials — pricing page, sales pitch/material — so what's proposed matches what's sold

• Own a standardized post-launch review for every pricing/packaging change: forecast vs. actual – document learnings against your hypotheses
• Maintain a running record of past pricing decisions and outcomes so each new proposal builds on the last instead of starting from zero

• Be a trusted advisor to Business, Product, Sales, and other internal teams — bringing structured problem-solving and strategic frameworks to their toughest questions

• Bachelor's degree in Business, Finance, Marketing, Data Analytics, or related fields. Master's degree preferred
• 2+ years of experience in strategy, revenue management, financial planning, or other strong quantitative fields, ideally with pricing or SaaS-revenue exposure
• Strong analytical skills — fluent in thinking in frameworks, building financial models, and translating data into a clear narrative that drives evidence-based pricing decisions
• Structured documentation and evaluation habits — validate your hypotheses to build repeatable frameworks, not just one-time answers