Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Nov 13, 2026.
Description
Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. While Fetcherr initially focused on the airline industry, the company is now expanding into additional verticals, bringing its dynamic AI-driven optimization capabilities to new industries such as travel, mobility, retail, e-commerce, and beyond.
We’re looking for a passionate and knowledgeable Domain Expert with strong expertise in airline pricing. You will play a key role in bridging industry knowledge with product development, helping shape the way our platform models, explains, and supports airline pricing logic.
Requirements
- Bachelor’s degree in a relevant field (Economics, Aviation Management, Industrial Engineering, Business, or similar).
- 3+ years of hands-on experience in airline pricing or revenue management - either at an airline, GDS, or pricing content provider (e.g., ATPCO).
- Experience working with systems that support RM/Pricing teams.
Domain Expertise:
- Deep understanding of airline pricing concepts including RBDs, fare ladders, private vs. public fares, seasonality, fare rules, surcharges, and ancillaries.
- Familiarity with ATPCO data structures, GDS fare filing logic, and how airlines manage and distribute pricing content.
- Bonus: knowledge of NDC, dynamic offers, or experience with pricing automation tools.
Analytical & Technical Skills:
- Strong analytical mindset with the ability to interpret and structure complex pricing logic.
- Proficiency in Excel; experience with SQL or BI tools (e.g., Looker, Tableau) is an advantage.
- Ability to identify patterns and inconsistencies in fare data or pricing outcomes.
Content & Communication:
- Proven ability to write clear, structured documentation and business logic definitions.
- Comfortable translating industry expertise into product content, user guides, and configuration rules.
- Excellent communication skills in English - both verbal and written.
Soft Skills:
- Startup mindset - hands-on, flexible, proactive, and able to operate in a fast-moving environment.
- Team player with a high sense of ownership and accountability.
- Passionate about improving how airlines price and sell their products.

