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Product Manager

• Sit in the Trading OS team and report to the Director of OTA Platform
• Partner with engineering, Revenue Management, and commercial leaders to define the Trading OS roadmap, outcomes, metrics, and investment priorities
• Define and deliver the long-term product vision for Trading OS
• Build flexible tools, APIs, and data models enabling commercial teams to configure, test, and roll out pricing, packaging, and availability changes
• Collaborate with Engineering on technical design, service boundaries, data contracts, and scalable architecture for AI-assisted decisioning
• Improve the quality, reliability, and visibility of commercial data
• Use data and controlled experimentation to measure operator efficiency, engineering effort avoided, platform adoption, and commercial impact
• Drive platform adoption through documentation, onboarding, and feedback loops for internal product and commercial consumers
• Participate in the interview process, including presenting a platform case

Lead Product Manager

Data Scientist

• Develop predictive models for pricing, recommendations and other business domains
• Build and improve data science products to enhance customer experiences and commercial outcomes
• Translate ambiguous business problems into practical data science solutions, from exploration and modelling through experimentation and evaluation
• Partner with engineers, analysts and product teams to deploy reliable models and embed recommendations into everyday decision-making
• Monitor model performance, investigate changes and continuously improve solutions as customer behaviour and business needs evolve
• Communicate findings clearly, challenge assumptions and support evidence-based decisions
• Report to the Head of Data Science
• Collaborate with Product and Engineering teams within the Platform function