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Lighthouse is an AI-powered commercial strategy platform for hospitality, trusted by tens of thousands of hotels including all top 15 global chains. With $370M in Series C funding and $100M+ ARR, the company is scaling rapidly across 35 countries.
As a Technical Account Manager, you will manage a portfolio of complex, high-value hotel and hospitality accounts, acting as a commercially-oriented technical advisor within the Revenue team. You'll partner closely with Account Executives to drive adoption, retention, and expansion while serving as a trusted technical advisor to customer stakeholders.
Key responsibilities include:
**Strategic Account Management & Partnership**
- Own the technical relationship across a portfolio of complex managed accounts
- Partner with AEs on account strategy, retention, expansion, and renewal planning
- Proactively identify adoption gaps, technical risks, expansion opportunities, and churn signals
- Provide usage, adoption, ROI, and technical insights to support renewals and commercial conversations
- Lead or contribute to QBRs, adoption reviews, renewal preparation, and executive customer engagements
**Product & Technical Expertise**
- Serve as a senior subject-matter expert across Lighthouse products, integrations, data, and AI capabilities
- Understand BI data structures, market codes, OTB vs. Actuals, and data-quality issues
- Demonstrate strong knowledge of Connect AI, PMS/OTA connectivity, Rate Insight & Parity, The Hotels Network, Market Insight, and Ernest/Revenue Agent
- Understand APIs, data flows, PMS/channel integrations, and common integration failure points
- Own the customer-facing technical narrative while partnering with Customer Care, Engineering, and Product
**Customer Adoption & Value Realization**
- Build account-specific adoption plans connecting Lighthouse capabilities to customer business outcomes
- Drive sustained adoption of core products, advanced functionality, and AI capabilities
- Lead best-practice sessions, technical value reviews, and targeted adoption engagements
- Monitor adoption milestones and proactively intervene when customers are not realizing expected value
- Develop and share scalable best practices, playbooks, and customer-facing content
**AI-First Account Management**
- Actively drive adoption of Ernest/Revenue Agent and other AI capabilities across the portfolio
- Use Claude, Gemini, and Lighthouse AI tools daily to improve account analysis, preparation, communication, and prioritization
- Translate AI capabilities into practical customer use cases and measurable outcomes
- Identify opportunities to automate repetitive account-management activities
**Cross-Functional Leadership**
- Act as a senior bridge between Commercial, Customer Care, Engineering, Product, and customers
- Bring structured customer feedback and product insights into internal teams
- Coordinate complex technical engagements and ensure clear ownership and communication
- Share technical and commercial best practices with other TAMs and AEs
- Contribute to improvements in TAM processes, playbooks, tooling, and operating models
You'll join a global Revenue team of 150+ sales professionals across 24 countries in a collaborative, high-energy environment with real opportunities for career growth.
**Requirements**
The posting does not explicitly state years of experience, required certifications, or formal education requirements. However, the role expects:
- Deep product expertise across Lighthouse's full platform (Connect AI, PMS/OTA connectivity, Rate Insight & Parity, Market Insight, Ernest/Revenue Agent)
- Strong understanding of hospitality operations, revenue management, and hotel technology integrations
- Demonstrated ability to manage complex, high-value accounts and partner strategically with sales teams
- Proficiency with AI tools (Claude, Gemini, Lighthouse AI) for account analysis and communication
- Ability to translate technical capabilities into business value and measurable outcomes
- Cross-functional leadership and communication skills
- Experience with BI data structures, APIs, and data flows preferred