Senior Product Manager, Room Price Genie

• This is not just another product role—we’re looking for someone who lives and breathes data, thrives on making the complex simple, and can engage deeply with data scientists, engineers, and AI-driven decision-making
• Proven experience as a Product Manager, ideally in B2B SaaS
• Strong quantitative background (e.g., statistics, math, computer science, data science). You don’t need to build models, but you should understand and challenge them
• Experience working in highly analytical, data-rich environments (e.g., SaaS, fintech, analytics, ML/AI platforms)
• Proven ability to make complex systems radically simple—whether in product design, communication, or user experience
• Passion for AI and excitement about how LLMs and machine learning are reshaping software
• Experience leading cross-functional teams with data scientists and data engineers
• Excellent communicator: can explain complicated ideas simply and inspire diverse audiences
• Curious, structured thinker with strong product intuition
• Empathetic listener with a bias for action
• Confident asking “why” until it’s clear—and explaining “how” until it clicks

Desirable

• As the Product Manager for our Revenue Management team at RoomPriceGenie, you will play a pivotal role in building the next generation of AI-powered pricing tools
• Ou’ll lead a cross-functional team of data scientists and engineers, and collaborate closely with key stakeholders like our CSO & founder Ari
• Your mission: to turn rich, complex datasets into simple, intuitive pricing insights that help thousands of independent hotels compete smarter
• Define and maintain the product vision and roadmap for our revenue optimization and pricing strategy tools
• Align roadmap with company strategy, user feedback, and emerging AI capabilities
• Champion simplicity: translate complex pricing logic and statistical models into tools that hoteliers actually understand and use
• Inspire a product culture that values clarity, explainability, and impact
• Work closely with data scientists and data engineers to design features powered by advanced models
• Understand and challenge algorithms, forecast models, and statistical methods behind pricing logic
• Distill technical insights into clear product stories and experiences that drive user trust and action
• Drive the delivery of product features end-to-end, from opportunity assessment to shipped functionality
• Translate insights into well-scoped user stories that reflect real customer needs
• Prioritize and plan while balancing technical feasibility and business impact
• Coordinate across external and internal teams such as Revenue Management, Integrations, Customer Success, and Sales to ensure data flows, customer impact, and alignment
• Communicate clearly across technical and non-technical audiences
• Talk to customers regularly and uncover hidden friction in their revenue management workflows
• Together with customer researchers, synthesize feedback into product changes that drive user adoption, retention, and satisfaction
• Explain technical topics simply—if you can explain a regression to a five-year-old, we want to talk
• Define, track, and own product KPIs around adoption, retention, and revenue uplift
• Partner with the data engineering team to ensure the data infrastructure supports robust reporting and forecasting
• Use data—not guesswork—to inform decisions