Senior Manager, Pricing & Revenue – Hotels OTA

Job not on LinkedIn

🕒 July 7

🇮🇩 Indonesia – Remote

⏰ Full Time

🟠 Senior

💰 Pricing Analyst

👻 Ghost score 42%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Wego.com

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2005

💼 Consulting

🏨 Hospitality

📦 Logistics

💰 $12M Series C - Wego on 2017-10

Consulting • Hospitality • Logistics

Wego. com is a leading travel marketplace and online travel agency focused on the MENA region that helps consumers plan and book flights, hotels, and discover travel inspiration. The company also operates a cashback and rewards platform and provides a business travel and expenses management solution, combining consumer-facing marketplace services with software tools for corporate travel.

📋 Description

• Diagnose pricing landscapes for each core market and channel, including competitor positioning, win rates, volume potential, and margin headroom • Develop pricing strategies by point of sale • Run continuous pricing experiments, including hypothesis formation, A/B test design, result analysis, and scale/hold/kill decisions • Own the experiment backlog • Create and tune market-, channel-, and segment-level pricing rules • Manage suppliers and supply channels to optimise rate competitiveness, availability, and price leadership • Partner with engineering to optimise rate sourcing and selection, improving win rates and margin • Own and scale distribution channels including Skyscanner, Kayak, Vio, Google Hotels, and new partners • Build channel-specific pricing and promotion strategies to grow profitable volume • Understand channel unit economics, bidding/feed mechanics, and competitive dynamics • Design and run promotion strategies for direct users and distribution partners • Manage campaigns end to end across paid and distribution channels, coordinating with central marketing on spend • Pull, model, and interpret data to identify opportunities and explain performance • Define KPIs and success criteria; build data models, dashboards, and ad-hoc analyses • Use AI for analysis, diagnosis, scenario modelling, research, strategy drafting, and agentic workflows • Build and run agentic workflows for automated monitoring, anomaly detection, experiment readouts, and promo recommendations • Partner with the central data team and VP of Data on the pricing analytics roadmap • Set standards for a modern, AI-native pricing function

🎯 Requirements

• Direct hotels OTA experience in pricing, revenue management, or commercial roles inside an online travel agency or hotel metasearch/booking platform • Deep, daily use of AI tools such as ChatGPT/GPT and Gemini; ideally Claude • Experience using AI for real analytical and strategic work • Highly analytical and data-fluent, with hands-on experience working with data, building models and dashboards • Solid grounding in statistics and experiment design • Strong track record of building pricing and promotion strategy from scratch and proving impact through experimentation • Hands-on experience growing and managing distribution or paid channels against ROI/ROAS targets • 5+ years using data to drive commercial decisions, including meaningful time in pricing/revenue management • Strong stakeholder management and clear communication across data, commercial, marketing, product, engineering, and finance • Proactive, ownership-driven, can-do approach; comfortable spending approximately 80% of time hands-on in detail • Nice to have: experience with teams building agentic AI solutions for pricing or similar commercial use cases • Nice to have: experience managing suppliers and supplier mix, and collaborating with engineering on supply/rate optimisation • Nice to have: SQL, Python/R, and BI tools such as Looker or Tableau

🏖️ Benefits

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