2 months ago
Remote, United StatesStaff+
Responsibilities
- Own client deployments end to end, including engagement scoping, integration with PMS, CRS, RMS, and distribution systems, model delivery, and adoption.
- Design and ship agentic workflows that hotel revenue managers will use in commercial decision-making.
- Translate hotel revenue management practice into decision logic and validate agent recommendations against experienced revenue professionals.
- Work on-site and remotely with client product, engineering, and commercial leadership to integrate with hotel systems of record and distribution channels.
- Define deployment methodology and performance measurement standards.
- Represent telos with brand-level revenue and commercial executives.
- Build, mentor, and lead the forward deployed engineering team as the function scales.
Requirements
- Demonstrated hands-on familiarity with production hotel revenue systems, including RMS, PMS, CRS, BI, and rate-shopping tools.
- Deep experience in hotel system engineering or hotel revenue management, combining senior leadership with hands-on execution.
- Practical experience with Oracle Hospitality Integration Platform, OpenTravel Alliance specifications, and Hospitality Technology Next Generation specifications.
- Production experience with SQL, Python, modern machine learning and optimization tooling, and cloud AI services across AWS, Azure, or GCP.
- A track record of shipping AI that fits commercial workflows and earns analyst trust under operational pressure.
- Strong communication skills across revenue teams, engineers, and brand-level executives.
- Preferred experience with agentic AI, RAG, Model Context Protocol, Universal Commerce Protocol, hotel distribution and channel strategy, customer insights, loyalty, segmentation analytics, and a revenue management certification such as CRME.
Benefits
- Remote role for candidates in the US or Canada with hybrid/remote flexibility and occasional on-site client work.
Tech Stack
Categories
Forward Deployed
About UP.Labs
UP.Labs is a venture studio within the UP.Partners ecosystem that co-creates startups with large enterprises, especially in transportation, mobility, and applied AI. It identifies corporate pain points, validates concepts, and builds software and hardware MVPs that are spun out as independent companies, often alongside strategic partners. The privately held firm is headquartered in Santa Monica, California and pairs venture-building teams with engineers to deliver operationally grounded products.