Product Manager - AI

Job Description We are looking for a Senior Product Manager to own the end-to-end roadmap for critical revenue-generating systems within the hospitality industry . This is a dual-horizon role where you will strengthen foundational pricing engines while leading the transition toward autonomous, AI-driven agents that maximize revenue automatically . You will work at the intersection of complex pricing logic, machine learning, and user psychology to deliver measurable commercial uplift for clients . Responsibilities Strategic Roadmap: Define the global vision for pricing and promotion suites, charting the path from manual tools to fully autonomous yield management agents . Algorithmic Yield Optimization: Partner with Machine Learning Engineers to develop logic that optimizes key industry metrics like Average Daily Rate (ADR) and Revenue Per Available Room (RevPAR) . End-to-End Delivery: Oversee the full product lifecycle and lead agile execution for high-scale, high-transaction volume solutions . Data-Driven Decision Making: Leverage extensive data analysis and financial modeling to prioritize features and diagnose issues related to conversion and revenue contribution . Stakeholder Management: Act as a strategic bridge between Engineering, Business Development, Customer Success, and external partners . Requirements Qualifications: Experience: 5+ years in B2B2C SaaS product management with a history of launching data-intensive products or algorithmic decision-making systems . Outcome-Oriented Mindset: Ability to define success through commercial metrics such as ADR growth and conversion uplift . Analytical Rigor: Expert-level comfort with data analysis and financial modeling . Strategic & Tactical Balance: Proven ability to define high-level strategy while remaining willing to handle hands-on investigation and QA . Language Skills: Professional fluency in both Japanese and English (Bilingual) . Operational Agility: Self-starter capable of thriving in fast-paced, globally distributed environments . Preferred Qualifications: Domain Expertise: 3+ years specializing in Revenue Management, Pricing Engines, or Travel Distribution . AI & Yield Innovation: Experience utilizing Machine Learning or AI for automated yield management or demand forecasting . Collaborative Engineering: Proven experience working alongside Data Science or Machine Learning engineers . Benefits Work Environment: Hybrid Work: Offers a hybrid arrangement combining remote and in-office work . Schedule: Standard working days are Monday through Friday . Time Off: Saturdays, Sundays, and national holidays are observed . Vacations: Year-end and New Year vacations (6 days from December 29 to January 3) . Financial & Social Benefits: Commuting: Commuting allowance is paid in accordance with company regulations . Insurance: Full social insurance provided (employment, health, and pension) .