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3 дня назад

Lead Forward Deployed Engineer, Hospitality (AI)

Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead Forward Deployed Engineer, Hospitality (AI): Delivering and integrating production AI revenue decision systems across hotel properties and brands with an accent on hotel-system integrations, revenue-management workflows, and applied machine learning. Focus on designing agentic workflows, validating recommendations against expert revenue-manager judgment, and building deployment standards and a forward deployed engineering team.

Location: Remote in the United States or Canada; hybrid/remote, with on-site client work

Company

telos is an AI revenue decision platform connecting hotel and airline systems of record with commercial decision-makers.

What you will do

  • Own client deployments end to end, including engagement scoping, system integrations, model delivery, and adoption within revenue organizations.
  • Design and ship agentic AI workflows that hotel revenue managers can trust and use.
  • Translate hotel revenue-management expertise into decision logic and validate recommendations against experienced practitioners.
  • Integrate with PMS, CRS, RMS, distribution, product, engineering, and commercial systems.
  • Define deployment methodology and performance measurement standards.
  • Build, mentor, and lead the forward deployed engineering team as the hospitality business scales.

Requirements

  • Senior-level hands-on experience in hotel systems engineering or hotel revenue management, combining technical delivery with commercial domain expertise.
  • Production experience with machine learning, forecasting, optimization, and AI delivery, or substantial hotel revenue leadership across multi-property portfolios.
  • Hands-on familiarity with RMS platforms such as IDeaS or Duetto, PMS platforms such as Oracle OPERA, CRS platforms such as Amadeus ACRS or Sabre SynXis, and hotel BI or rate-shopping tools.
  • Practical experience with Oracle Hospitality Integration Platform, OpenTravel Alliance, and Hospitality Technology Next Generation specifications.
  • Production experience with SQL, Python, modern ML and optimization tooling, and cloud AI services across AWS, Azure, or GCP.
  • Ability to communicate effectively with revenue teams, engineers, and brand-level commercial executives.

Nice to have

  • Experience with agentic AI, RAG, Model Context Protocol, or Universal Commerce Protocol architectures.
  • Knowledge of OTA and wholesale contracting, channel mix, distribution strategy, and direct-booking optimization.
  • Experience with customer insights, loyalty, and segmentation analytics.
  • Revenue-management certification such as CRME and continued industry leadership.

Culture & Benefits

  • Remote and hybrid work with collaboration directly alongside client organizations.
  • Opportunity to start as a senior individual contributor with ownership of deployments and grow the hospitality engineering function.
  • Inclusive workplace committed to equal opportunity and diversity.

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