Sr. Product Manager, Data & Algorithms

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. 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.

You’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.

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. 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.

You’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.

Key Responsibilities:

• Product Vision & Strategy
• 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.
• Data-Powered Product Design
• 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.
• Feature Development
• 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.
• Collaboration
• Work together with engineers, designers, researchers and other functions like Revenue Management, Integrations, Customer Success, and Sales to deliver impact successfully.
• Communicate clearly across technical and non-technical audiences.
• Customer Understanding & Feedback Loops
• Talk to customers regularly and uncover hidden friction in their revenue management workflows.
• Together with customer researchers, synthesize feedback into product strategy and improvements 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.
• Metrics & Impact
• 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.
• Use data—not guesswork—to inform decisions.

Your Profile

• Proven experience as a Product Manager, ideally in B2B SaaS. Experience leading cross-functional teams with data scientists and data engineers.
• 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.

Soft Skills

• 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.

Nice to Have

• Industry Experience: Previous experience in the hotel industry or familiarity with revenue management systems.
• 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.

• Work closely with data scientists and data engineers to design features powered by advanced models.

• Introduction Call (20-30 Minutes)
• PM Deep Dive (60 Minutes)
• Meet the team (30 Minutes)
• Meet the Founder (30 Minutes)
• Salary & Contract Call (30 Minutes)