Associate Manager/Manager, B2B Pricing & Commercial Strategy (Bangkok-based, relocation provided)

Localisation

Associate Manager/Manager, B2B Pricing & Commercial Strategy (Bangkok-based, relocation provided) Technology Cape Town, South Africa Until 2026/07/19 Full time On-site Job description 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.

Expérience

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. Get to know our team: B2B Pricing team sits within B2B Marketing and partners with Product, Commercial, Finance, and Data Science to define, test, and scale strategies that drive sustainable growth and profitability for Agoda and our partners. We combine deep analytical rigor with an experimentation mindset to optimize across marketing levers (primarily pricing) and advise on growth across B2B2C channels. The Opportunity: As Associate Manager/Manager, B2B Pricing & Commercial Strategy , you will own pricing strategy and execution while acting as a consultative, data‑driven advisor to B2B2C growth initiatives. You’ll translate commercial goals into testable pricing and marketing levers, design measurement, and lead cross‑functional rollouts that improve business outcomes. You will work closely with the commercial organization and cross‑functional stakeholders, serving as a go‑to partner for pricing and growth decisions for key partners (e.g., large loyalty programs, marketplaces, and digital wallets such as Rakuten or Paytm). In this role, you’ll get to: Define and evolve pricing strategies, segmentation, and marketing action for partners. Lead the experimentation roadmap (A/B and multivariate tests), including hypotheses, success metrics, and decision frameworks. Build marketing roadmaps and analyses (elasticity, cannibalization, incrementality) to advise relevant marketing actions. Act as a consultative growth advisor to partner teams: co‑create joint plans, model impact/P&L, align OKRs, and operationalize execution across channels. Build playbooks to scale winning strategies across markets and partners; document learnings and institutionalize best practices. Create Tableau dashboards and crisp executive narratives that synthesize performance, insights, and recommendations; drive action in weekly/monthly reviews.

Présentation du poste

Vendor/Partner Management: Manage relationships with external partners including strategic presentations. What you’ll need to succeed:

• 5+ years in data-driven role, revenue/growth, marketing, strategy, or analytics roles in e‑commerce, travel, tech; Strong business acumen and structured problem‑solving; ability to frame trade‑offs, model scenarios, and influence decisions with clear “so‑what.” Fluency with data: advanced Excel, SQL, and Tableau; comfort with large datasets and experiment readouts. Practical experience with controlled experiments. Exceptional stakeholder management and communication; able to simplify complex analyses for senior and partner audiences and drive alignment. High ownership and bias for action; thrive in an ambiguous, fast‑paced, test‑and‑learn environment. BA/BS in a quantitative field (e.g., Economics, Statistics, Engineering) or equivalent experience. It’s great if you have: Building decision frameworks in production. Background in management consulting or internal strategy (e.g., growth, pricing, or partnerships). MBA or advanced degree is a plus; we value equivalent operating experience and measurable outcomes. Familiarity with Python/R for modeling and scaling analysis. Domain exposure to B2B channels, partner/affiliate programs, or wholesale/whitelabel constructs.

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