Operator of independent luxury hotels, resorts, spas, marinas and golf
Noble House Hotels & Resorts runs a portfolio of independent luxury properties on a hospitality-grade stack: OPERA PMS and Infor HMS for rooms, Delphi and Cvent for group sales, Micros, Toast and OpenTable for F&B. Hiring is accelerating and dominated by junior operations roles. Pain points cluster around convention contract revenue, occupancy and catering growth, pointing to a group- and events-driven revenue strategy.
Notable leadership hires: Finance Director, Housekeeping Director, Director of Outlets, Sales & Marketing Director, Chief Engineer
Noble House Hotels & Resorts is a privately held hospitality company founded in 1981 and headquartered in Kirkland, WA. It operates a collection of distinctive hotels and resorts, with management capabilities spanning property, restaurant, spa, marina and golf operations, plus acquisitions and development. The company employs 1,001–5,000 people and hires in the United States. Back-office operations run on Acumatica and Paylocity, with Wrike for project coordination and an Adobe Creative Cloud toolset for in-house marketing content.
Noble House uses OPERA PMS and Infor HMS for property management, alongside Delphi and Cvent for group and event sales and Amadeus for distribution.
Yes. Hiring is accelerating, concentrated in junior hotel operations roles, with leadership openings such as Finance Director, Director of Outlets, Sales & Marketing Director and Chief Engineer.
Noble House Hotels & Resorts is headquartered in Kirkland, Washington, and was founded in 1981. It is privately held with 1,001–5,000 employees.
Other companies in the same industry, closest in size
Noble House Hotels & Resorts's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.