Pricing Strategy Manager

You will lead the design and optimization of pricing and packaging strategies across Wongnai's product ecosystem, including POS systems and digital merchant solutions. You will build compelling business cases using data modeling and experimentation to drive revenue growth and present high-impact proposals directly to executive leadership. The role involves managing the full lifecycle of pricing initiatives, from hypothesis testing and A/B experiments to post-launch analysis and feedback loops. You will partner with cross-functional teams to ensure accurate execution and maintain consistency between proposed pricing and actual sales materials. Additionally, you will serve as a strategic advisor to business, product, and sales teams, applying structured problem-solving frameworks to complex challenges.

This position requires a strong analytical mindset and the ability to translate complex data into clear, evidence-based narratives. You will own the accuracy of pricing-facing materials and maintain a running record of past decisions to build repeatable frameworks. The ideal candidate will have experience in strategy, revenue management, or financial planning, with a focus on pricing or SaaS revenue models. You will be responsible for validating hypotheses and documenting learnings to ensure continuous improvement of pricing strategies.

• Identify opportunities to improve packaging and pricing across product lines including Wongnai POS and integrated payment services
• Build business cases by quantifying impact, stress-testing hypotheses, and using evidence-based approaches like benchmarking and data modeling
• Present pricing proposals 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 and run experiments such as A/B tests and phased rollouts
• Ensure accuracy and consistency of pricing-facing materials including pricing pages and sales pitches
• Own standardized post-launch reviews to compare forecast vs. actual results and document learnings against hypotheses
• Maintain a running record of past pricing decisions and outcomes to build on previous learnings

• 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 quantitative fields, ideally with pricing or SaaS-revenue exposure
• Strong analytical skills with the ability to think in frameworks, build financial models, and translate data into clear narratives
• Structured documentation and evaluation habits to validate hypotheses and build repeatable frameworks