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Leads cross-functional business operations projects from scoping through go-live in a SaaS environment. Responsibilities include gathering requirements, managing scope and timelines, coordinating Salesforce and business process changes, overseeing testing and UAT, managing stakeholder communications, reporting risks, mentoring team members, and driving AI-related process automation initiatives.

Design and implement production AI solutions, agent workflows, and integrations that optimize marketing operations. Collaborate with marketing experts to identify automation opportunities, build scalable solutions, contribute to AI engineering practices, and shape the roadmap for AI adoption. The role combines software and integration engineering with business-facing problem solving and requires hands-on experimentation with AI tools and production workflows.

Designs and implements AI solutions for marketing operations, including AI agent workflows and business integrations. Partners with marketing experts to identify automation opportunities, builds scalable production solutions, collaborates with AI infrastructure engineers, and helps shape the organization’s AI adoption roadmap. The role requires strong software and integration engineering experience, practical production experience with AI tools and LLM APIs, business acumen, and fluent English communication.

Manage a portfolio of hotel accounts to drive retention, expansion, and product adoption. Lead onboarding, technical enablement, renewals, and escalations; monitor telemetry and usage to identify risks and upsell opportunities; coordinate with Sales, Support, Product, and Engineering; maintain CRM hygiene and reusable technical assets; deliver executive-level business reviews and measurable ROI reporting.

Own the Indonesia territory and sales quota by prospecting, building pipeline, and closing complex SaaS deals with hospitality and enterprise accounts. Manage multi-stakeholder sales cycles using MEDDPICC, conduct value-based ROI conversations, leverage AI-enabled sales tools, identify account expansion opportunities, represent Lighthouse at industry events, and share sales best practices with the broader team.

Manage enterprise client programs and portfolios, leading Business Intelligence implementations, product onboardings, governance, stakeholder alignment, project documentation, risk management, and delivery timelines. Act as the bridge between global hospitality clients and internal Product and Engineering teams while supporting customer satisfaction, retention, and growth. The role requires strong hospitality knowledge, executive communication, cross-functional influence, and the ability to manage complex projects across global time zones.

Manage enterprise client programs and complex implementation projects, including Business Intelligence dashboards and product onboardings. Coordinate internal Product and Engineering teams, establish governance, manage timelines and risks, document project activities, and lead stakeholder communications from hotel properties to C-level executives. The role also supports customer satisfaction, retention, growth, and product improvement through client feedback, primarily across EMEA, APAC, and AMER.

Generate and qualify inbound and outbound leads in Dutch and English, build sales pipeline, conduct personalized outreach, schedule product demos, and hand qualified prospects to Business Development Managers. Maintain accurate activity and lead data in HubSpot and Salesforce, collaborate with Marketing and Revenue teams, use AI-powered sales tools, and provide market feedback to improve sales processes and conversion.

Design, build, and operate high-performance backend systems for web data acquisition handling nearly 200 million daily requests. Develop proxy layers, browser tooling, request routing, and protocol-level infrastructure primarily in Rust. Investigate crawler and blocking issues, build reliable interfaces and guardrails, and maintain code quality through testing, observability, and secure scalable solutions. Collaborate with crawler engineering, DevOps, Security, and other teams.

Build and operate high-performance backend systems for web data acquisition at massive scale. Responsibilities include developing Rust-based crawler infrastructure, proxy layers, browser tooling, request routing, protocol handling, debugging blocked data sources, and creating reliable interfaces for internal teams and AI agents. The role emphasizes production cloud services, observability, security, scalability, testing, and collaboration with crawler engineering, DevOps, and Security teams.