Jobs at Lighthouse

Qualify inbound and outbound leads, conduct prospect research, and execute personalized outreach through calls, LinkedIn, and email. Build sales pipeline by identifying hospitality business opportunities, understanding prospect needs, and arranging meetings for sales representatives. Collaborate with Marketing, Account Executives, and Regional Sales Managers on campaigns, events, handoffs, and sales process improvements. Maintain high-volume, high-quality activity while developing relationships with hotel brands and management companies.

The Business Development Manager will source clients, organize territory plans, respond to inquiries, prepare quotes, and achieve sales targets while maintaining CRM records.

Own a strategic sales territory and quota for Lighthouse’s hospitality SaaS platform. Responsibilities include prospecting, building pipeline, managing complex multi-stakeholder deal cycles, applying MEDDPICC, conducting value-based selling, closing new business, expanding accounts, forecasting, and representing the company at industry events. The role also involves using AI-enabled sales tools, sharing best practices, mentoring peers, and partnering with Product on market feedback.

Leads a data engineering team responsible for large-scale streaming and batch ingestion pipelines, data transformations, and semantic data domains. Oversees architecture, implementation, reliability, observability, performance, and data quality improvements while mentoring engineers and driving delivery. Collaborates with product, engineering, support, and business teams, and promotes AI-assisted development and modern data architecture.

The Senior Support Operations Manager will support Lighthouse’s customer operations function for its hospitality AI platform. The posted description provides limited role-specific details, but indicates responsibility for customer operations within a rapidly scaling, customer-centric technology company. The role is full-time, hybrid, and based in Denver or Dallas.

Design and build trusted commercial and financial data models, own end-to-end delivery from requirements to documentation, collaborate with commercial and finance stakeholders, apply strong SQL/dbt skills and basic Python, and use AI responsibly to accelerate analytics and foundational systems for advanced analytics.