3 дня назад
Lead Forward Deployed Engineer, Hospitality (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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