About the Role
This role is for an Engineering Manager to lead the team behind a core platform that transforms inconsistent global hotel supply data into accurate, trustworthy inventory. You will modernize systems, improve data workflows, and align engineering, data/ML, and operations to enhance searchability, booking, and sales.
Responsibilities
- Lead the engineering team responsible for a platform that converts disorganized global hotel data into accurate, trustworthy, and market-ready inventory
- Own the domain of matching, deduplication, content enrichment, automation, and machine learning that directly impacts inventory discoverability, reliability, and commercial success
- Drive modernization of the platform's architecture, systems, and operational workflows
- Establish a unified operating model across engineering, data science, and mapping operations
- Transform inconsistent supplier inputs into consistent, high-quality inventory that supports customer search, trust, booking, and sales
Nice to Have
- Experience in entity resolution, matching, search, ranking, recommendations, classification, content enrichment, catalog quality, data quality automation, or production ML/data systems is highly relevant
Benefits
- High level of ownership with significant expectations
- Equity stake in the company
- Profitable business with 10x growth since 2022, backed by a $48M Series A from Accel
Work Arrangement
Hybrid — Barcelona, Palma, Dublin, Casablanca
About the company
- Founded in 2017, the company is building an API-first infrastructure to unify the fragmented travel industry, enabling seamless connections between hotels, online travel agencies, fintechs, and super-apps
- The platform simplifies complex supplier networks, offering direct access to hotel inventory with improved pricing, coverage, and technology
- With global teams in London, New York, San Francisco, Palma de Mallorca, and Casablanca, it serves industry leaders such as Hopper, Priceline, Google, and Uber
- Backed by top-tier investors including Accel and executives from Booking.com, Stripe, and Shopify, the company is redefining B2B travel infrastructure
- At the forefront of travel innovation, delivering AI-driven, personalized experiences through scalable APIs
About the role
- Position available remotely within the EU or in hybrid mode in Barcelona, Palma, Dublin, or Casablanca
- Engineering Manager role designed for someone who wants to remain deeply involved in complex technical and data challenges
- Responsible for leading the platform that converts messy global hotel supply data into accurate, reliable, and sellable inventory
- Lead a mission-critical domain where matching, deduplication, content enrichment, automation, and machine learning determine inventory usability
- Supplier data varies widely—same properties appear under different IDs, room types differ in naming and structure, and content may be incomplete or misassigned
- Cupid, the internal mapping platform, manages hotel, room, and content mapping alongside operational workflows to maintain high inventory quality at scale
- You will lead the team, modernize systems and processes, and create alignment across engineering, data/ML, and operations
- Your core mission: convert fragmented supplier data into trustworthy inventory that customers can search, trust, book, and sell
What makes it interesting for you
- You own a hard, specific domain at the core of hotel inventory quality
- You stay close to technical decisions, architecture, data flows, and tradeoffs
- You work on production ML problems around matching, classification, enrichment, automation, and data quality
- You modernise a mature platform with real room to improve the systems, workflows, and team structure
- Your work connects directly to conversion, supply quality, customer experience, and revenue
The kind of problems you’ll work on
- How do we match the same hotel or room when different suppliers describe it differently?
- How do we make images, descriptions, amenities, and other content more accurate and useful?
- How do we use automation and ML to improve mapping quality while keeping systems explainable and operable?
- How do we reduce manual work and operational bottlenecks while keeping quality high?
- How do we create one clear operating model across engineering, data/ML, and mapping operations?
This role fits if you
- have experience as an Engineering Manager or senior technical engineering leader
- have a strong software engineering / computer science background
- understand backend, data, platform, and infrastructure systems
- have led teams working on complex data-heavy products
- can mentor engineers and raise the technical bar in a relatively junior team
- can connect technical work to user value, quality, and commercial outcomes
- are structured, pragmatic, and analytical
Preferred qualifications
Experience with matching, entity resolution, search, ranking, recommendations, classification, content enrichment, catalog quality, data quality automation, or production ML/data systems would be especially relevant.
Interview Process
- You can apply with your LinkedIn profile or CV.
- The process is straightforward and typically takes 2 to 3 weeks.
Other
- Remote in EU or hybrid in Barcelona, Palma, Dublin, or Casablanca
- Role involves leading engineering, data/ML, and mapping operations
- High-ownership role with meaningful equity in the company
- Fast-moving, low on process, high on ownership environment
