A Digital Content Operations Lead will own day-to-day content delivery operations for digital experiences (App and Web) for a major global brand, blending operational leadership with hands-on content execution.
Locations (2)
Montevideo, Montevideo, Uruguay
Santiago, Santiago Region, Chile
Responsibilities
Lead intake, prioritization, capacity planning, and author assignments across overlapping workstreams for a distributed team.
Serve as the primary operational liaison to Merchandising, Marketing, CRM, Product, Engineering, and QA teams to meet strict deadlines and quality expectations.
Build, update, and maintain customer-facing App/Web content in Contentful (or similar enterprise CMS) from approved Figma designs, assets, copy, and requirements.
Mentor and onboard Digital Content Authors, sharing best practices and providing hands-on guidance.
Own content execution standards and serve as the primary peer reviewer, ensuring accuracy, functionality, and consistency.
Lead Hilton's strategic relationship with our AI measurement partner, turning audits, trends, and recommendations into prioritized opportunities and evolve how we measure and tell the story of AI visibility, search performance, referrals, customer journeys, and bookings.
Locations (2)
Dallas, Texas, United States
McLean, Virginia, United States
Compensation
The pay range for this role is $110,000 – $145,000 and is determined based on applicable and specialized experience and location. Subject to plan terms and conditions, you will be eligible to participate in the Hilton Annual Incentive (Bonus) Plan, consistent with other team members at the same level and/or position within the Company.
Responsibilities
Lead Hilton's strategic relationship with our AI measurement partner, turning audits, trends, and recommendations into prioritized opportunities.
Partner with the Director of Global Search & Discoverability and analytics teams to evolve how we measure and tell the story of AI visibility, search performance, referrals, customer journeys, and bookings.
Identify ways to make AI visibility insights more accessible and applicable at scale, including dashboards, self-service capabilities, and automation.
Bring together content, technical, and local search expertise to shape opportunities in agentic discovery, local, and broader discoverability work, helping move ideas from initial testing toward broader adoption.
