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Own full sales cycle for Indonesia hotels: prospect, build pipeline, and close net-new business. Use AI-enabled pre-sales and coaching agents, MEDDPICC methodology, and disciplined forecasting to meet quota. Represent Lighthouse at industry events, identify expansion opportunities, and feed market insights to Product.

Lead end-to-end implementation and program governance for Lighthouse's largest global hotel clients. Manage portfolios of enterprise accounts, coordinate cross-functional teams, capture requirements with Product and Engineering, maintain project documentation and timelines, run status calls, mitigate risks, and drive customer satisfaction, retention, and growth while engaging stakeholders up to the C-suite.

Lead APAC sales enablement end-to-end: design onboarding, AI-powered roleplay and coaching, deploy conversation-intelligence coaching loops, localize launches, and track ramp and performance metrics to accelerate sales productivity.

Lead Lighthouse's go-to-market strategy for platform and AI-era sales. Build platform narratives, MEDDPICC adaptations, playbooks, enablement curricula, persona playbooks, competitive intelligence, and expansion/consumption motions to drive multi-product adoption and train reps across sales functions.

As a Senior Data Engineer, you will design and maintain data pipelines, ensure data quality, and collaborate with teams to meet data needs, driving product value through AI integration and mentoring others.

As a Senior Data Engineer, you will design and maintain data pipelines, ensure data quality, and collaborate with stakeholders to deliver data solutions that drive business value while mentoring other engineers.

As a Finance AI Application Specialist, you will manage financial systems, implement AI solutions, support end-users, and optimize processes for growth.

As a Finance AI Application Specialist, you'll manage and optimize financial systems, implement AI solutions, collaborate with finance teams, and provide support.

Build and maintain production data models and data products using SQL, dbt, Python, and BigQuery. Own end-to-end delivery from analysis and modeling to testing, documentation, QA, and stakeholder communication. Improve data quality, query performance, and cost. Partner with product, data science, engineering, and commercial teams. Integrate AI to accelerate workflows and contribute to team best practices and on-call for enterprise data products.

Design and deliver production data models and data products using SQL, dbt, Python, and BigQuery. Scope and execute end-to-end analytics solutions, improve data quality and query performance, partner with cross-functional stakeholders, apply AI to accelerate workflows, and support enterprise customers including customer-facing responsibilities and on-call for data products.