Agoda - Principal Product Manager (Singapore Based)
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Requirements
• Bachelor’s degree in technical field (i.e. Computer Science, Statistics, Engineering, Mathematics, or similar quantitative discipline). • Proven ability to leverage analytics and quantitative methods to inform and influence decision-making • Strong data skills • Excellent communication skills (both verbal and written in English) with proven ability to convey complex messages clearly and with conviction to different stakeholders • Experience developing and launching products • Experience leading global product vision, go-to-market strategy and design discussions. • Experience leading and developing a team of Product Managers. • Experience in travel planning, trip management, or itinerary products (e.g., trip planners, travel assistants, or similar multi-product experiences). • Understanding of generative AI and machine learning concepts. • Entrepreneurial and analytical skills; effective at breaking down complex problems and driving and managing change • Hands-on mentality • MBA or Master’s degree in Math, Economics, Computer Science or Statistics • Data tools – SQL, Python, R, or equivalent • #seattle #sanfrancisco #beijing #newyork #london #bangkok #singapore #chicago #hongkong #singapore #berlin #shanghai #losangeles #boston #austin #toronto #luxembourg #munich #oslo #copenhagen #stockholm #helsinki #brussels #hamburg #stuttgart #taipei #hamburg #stuttgart #dublin #telaviv #sydney #melbourne #perth #vancouver #montreal #prague #paris #dublin #telaviv #milan #rome #tokyo #osaka #lisbon #amsterdam • Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.
Responsibilities
• Lead and develop a group of Product Managers, providing clear direction, coaching, and actionable feedback. • Shape product vision and roadmap aligned with Agoda’s business goals. • Analyze the online travel ecosystem, markets, competitive landscape and user requirements. • Conceptualize, launch and optimize products and features, experiment, test their performance and iterate quickly. • Work collaboratively with Engineering, Data Science, Machine Learning engineering, Marketing, Legal and UX teams on cutting-edge technologies. • Develop innovative solutions to some of the world’s difficult problems by collaborating as needed across regions, product areas, and functions.
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