Agoda is part of Booking Holdings (NASDAQ: BKNG), with over 7,000 people from 90 countries. Data and technology are at the heart of the culture.
About the team
Agoda's Marketing organization is highly data-driven and uses experimentation, technology, and analytics. A small Marketing AI Products team is being established to turn high-value cross-team opportunities into reliable, scalable products.
Responsibilities
Identify recurring Marketing workflows where AI can materially improve speed, quality, scalability, or decision-making.
Quantify each opportunity by establishing current effort, pain points, user base, and potential business value.
Translate business needs into clear product requirements, user journeys, milestones, and measurable success criteria.
Build and test prototypes using SQL, Python, automation tools, and generative AI technologies.
Partner with developers, Technology teams, and sponsoring Marketing teams to turn prototypes into reliable products.
Design evaluation frameworks covering output accuracy, reliability, usability, safety, and human review.
Lead user research, pilots, and iterative testing with analysts and channel specialists.
Drive rollout, documentation, training, and adoption.
Measure hours saved, turnaround time and quality improvements, adoption levels, and downstream business impact.
Maintain a prioritized portfolio of Marketing AI opportunities and communicate progress to senior stakeholders.
Monitor developments in AI capabilities and identify when products should be improved, expanded, or retired.
Contribute reusable tools, standards, and playbooks.
Requirements
2–4 years of relevant experience in analytics, product analytics, marketing strategy, business operations, consulting, or product management.
Bachelor's degree or higher in a quantitative, technical, or business discipline.
Strong SQL skills and experience working independently with large or complex datasets.
Hands-on experience with Python, scripting, workflow automation, or similar tools.
Experience defining hypotheses, designing experiments, and translating results into actionable recommendations.
Strong product thinking and ability to make pragmatic scope and prioritization decisions.
Strong written and verbal communication skills in English.
Experience building GenAI applications, AI agents, or automated analytical workflows.
Familiarity with prompting, retrieval-augmented generation, APIs, model evaluation, and human-in-the-loop workflows.
Experience using AI-assisted development tools such as Codex, Cursor, Claude Code, or Google AI Studio.
Nice to have
Experience writing product requirements, managing a product backlog, or taking an internal product from prototype to scaled adoption.
Knowledge of digital marketing, performance marketing, experimentation, SEO/AEO, campaign operations, or personalization.
Experience establishing QA and monitoring processes for data or AI products.