Senior Manager, Pricing Strategy (Operations & ML) – Key Accounts (Bangkok-based)

About Agoda

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.

Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.

No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.

About Agoda

Agoda is a global leader in online travel, leveraging data and technology to deliver exceptional value to millions of travelers and partners. Our Key Accounts team is responsible for driving strategic growth and innovation with our most important partners. We are seeking a Senior Manager to lead pricing strategy for key accounts, combining deep analytics, project management, and commercial acumen.

What You’ll Do

• Work on pricing strategy for key accounts by developing and executing data-driven pricing strategies for Agoda’s most important partners, ensuring competitiveness and profitability in a dynamic market.

• Project manage the end-to-end build and deployment of machine learning models that optimize pricing and automate operations-heavy processes for key accounts.

• Become the subject matter expert on pricing, revenue management, and internal operations tools relevant to key accounts, deeply understanding current processes and identifying opportunities for automation and improvement.

• Collaborate closely with data scientists, product managers, and commercial leaders to design, build, and implement ML solutions that drive business impact for key accounts.

• Independently conduct business-as-usual (BAU) analyses, pricing deep dives, and present actionable findings and recommendations to senior stakeholders, including department heads and key account leaders.

• Support and lead cross-functional projects to improve partner performance, pricing competitiveness, and operational efficiency.

Must Have

• Advanced proficiency in SQL

• Basic proficiency in Python

• Prior project management experience in deploying ML models (with basic technical understanding of underlying ML models)

• Ownership with bias for action mindset

Good to Have

• Able to independently run basic traditional ML models (e.g., random-forests)

• Basic understanding of genAI

• Prior experience with ML models for credit score / fraud assessment

• Open-ness to learn Tableau

Why Join Us?

• Shape the pricing strategy for Agoda’s most important partners and drive business growth through analytics and innovation.

• Work with world-class data scientists, product managers, and commercial leaders.

• Develop your technical, analytical, and leadership skills in a fast-paced, data-driven environment.

• Be at the forefront of applying machine learning and AI to real-world business challenges.

Discover more about working at Agoda

• Agoda Careers https://careersatagoda.com

• Facebook https://www.facebook.com/agodacareers/

• LinkedIn https://www.linkedin.com/company/agoda

• YouTube https://www.youtube.com/agodalife

Equal Opportunity Employer

At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.

We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.

Disclaimer

We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.