Senior / Lead Product Manager, Numa

• 8+ years in Product Management, with 3+ years leading cross-functional teams
• Proven experience building pricing, yield management, or forecasting systems (hospitality, travel, mobility, or marketplaces)
• Deep knowledge of revenue management principles – elasticity, booking curves, segmentation
• Deep Analytical & Econometric Grounding: Proven ability to structure complex, multi-variable optimization problems and define A/B testing methodologies for causal inference. A Master's degree or strong applied experience in Economics, Econometrics, or a highly quantitative field is strongly preferred
• Technical fluency – comfortable with data pipelines, ML models, and APIs. Experience should include practical application of time-series forecasting and Tree-based algorithms (e.g., XGBoost), and an understanding of when complex deep learning models are an inappropriate overhead
• Strong– experienced in testing frameworks and data validation
• Excellent communicator – can bridge business goals with technical delivery
• Entrepreneurial and proactive – thrives in high-speed, high-ownership environments

Desirable

• We’re looking for a highly experienced Product Manager to lead the development of numa’s in-house Revenue Management System (RMS – the platform that automates room pricing and forecasting decisions)
• This is a foundational role — you will set the product vision, define the roadmap, and build the team from the ground up
• You’ll work closely with engineers and data scientists to develop algorithms and automation that improve pricing performance across numa’s large, fast-growing European hospitality portfolio with hundreds of millions in annual revenue
• You will lead a culture of experimentation and controlled risk-taking, continuously testing pricing hypotheses through A/B experiments and agile iteration. Your mission: make numa’s pricing engine the fastest-learning and most adaptive RMS in hospitality
• Own the RMS roadmap – define, prioritize, and deliver features that improve pricing performance, automation, and transparency
• Build and lead a cross-functional team of engineers, data scientists, and analysts – you’ll be involved in hiring and shaping key roles
• Foster a culture of experimentation – design and evaluate A/B tests to validate pricing strategies and model changes
• Drive controlled risk-taking – balance bold pricing moves with measurable impact and learning
• Translate commercial strategy into product design – turn elasticity, segmentation, and revenue goals into production-ready pricing algorithms and core business rules
• Collaborate with Revenue Leadership to align on business strategy and portfolio pricing
• Integrate external data sources (OTAs, competitor rates, demand signals, campaigns) to enhance pricing accuracy
• Work fast and agile – build MVPs, measure, iterate, and scale proven solutions
• Ensure transparency – all pricing decisions must be explainable and data-backed
• Key Success Metrics
• RevPAR uplift: +3–5% vs. off-the-shelf RMS alternatives (RevPAR = Revenue per Available Room)
• Length of Stay (LOS): >3.5 nights average
• Direct Share & Demand Diversification: ≥50% of total bookings
• Corporate Business Share: ≥25% of revenue via optimized corporate pricing strategy
• Pricing Automation: >90% of inventory priced dynamically
• Forecast Accuracy: +-3% forecast accuracy
• Launch Automation: Rateplan & Pricing setup of a new property within 24h
• Experimentation Speed: ≤2-week A/B test cycle from idea to result
• Build numa’s proprietary Revenue Management System (RMS), you are at the forefront of innovation in the hospitality market
• Shape pricing strategy and experimentation culture for one of Europe’s fastest-growing hospitality brands
• Lead a highly skilled team where speed, experimentation, and measurable learning are core values
• Drive tangible commercial impact and innovation in a data-first environment
• Ambitious but empathic leadership, lean structures and fast decisions. Our product and tech teams are empowered to drive impact