Fetcherr experts in deep learning, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting-edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real-time decision-making. Initially focused on the airline industry, Fetcherr is expanding to transform additional verticals with dynamic AI-driven solutions.

We are looking for a Subject Matter Expert (SME) to support the development of a new AI-driven pricing solution tailored to the car rental and mobility industry. The ideal candidate brings hands-on experience in fleet-based pricing, rental demand modeling, or revenue optimization within car rental, OTA, or mobility platforms.

This role will act as a strategic advisor to our product, data, and engineering teams — helping shape the solution, validate assumptions, and guide the development of models and data strategy specific to the car rental environment (e.g., utilization-driven pricing, seasonality, station-level demand, length-of-rental dynamics, ancillary/VAS upsell).

Key Responsibilities:

• Advise on AI/ML approaches for rental pricing optimization, demand prediction, and fleet utilization
• Help define data requirements specific to car rental operations: reservation data, check-in/check-out patterns, competitor rate feeds, channel mix, and fleet availability
• Provide deep expertise on car rental pricing dynamics including rate categories, length-of-rental (LOR) pricing, advance purchase behavior, walk-up rates, and blackout periods
• Guide revenue management strategy covering occupancy vs. yield trade-offs, overbooking logic, and dynamic rate adjustment
• Advise on VAS (value-added services) pricing: insurance products, GPS, fuel options, upgrades, and bundling strategies
• Work closely with product, data, and engineering teams to translate business logic into model features and product requirements
• Validate model assumptions, review outputs against real-world rental scenarios, and help prioritize experiments
• Share knowledge on industry benchmarks, competitive pricing behavior, and channel-specific pricing strategies (direct, OTA, corporate, broker)
  
  

Requirements:

• Proven experience in pricing optimization, demand forecasting, or revenue management — specifically within car rental, vehicle leasing, or mobility - a must
• Familiarity with car rental systems and data sources (e.g., ACRISS codes, RMS platforms, GDS/OTA connectivity, reservation systems such as Rentalmatic, Bluebird, or similar)
• Ability to bridge business knowledge and data/product teams — translating rental market logic into actionable modeling strategies
• Experience working in an advisory or consulting capacity, comfortable with fast-moving, agile product environments
• Knowledge of key industry metrics: fleet utilization, RevPAC (Revenue per Available Car), EBIT contribution of VAS, channel margin profiles
• Able to work hybrid (2-3 times a week from office) at 175 SW 7 ST Suite 1900, MIAMI, FL 33130.