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Own client–EA relationships: onboard, align priorities, resolve escalations, and ensure continuity. Lead and coach a team of 15–18 Executive Assistants, track performance, drive process improvements, and support global, cross-cultural operations including night shifts and rotating schedules.

Manage end-to-end payroll and statutory Guatemalan obligations (Bono 14, Aguinaldo, IGSS), reconcile payroll to the GL, process AP via Tipalti, maintain records in QuickBooks and HRIS, support audits and month/year-end close, and partner with HR on employee lifecycle and complex payroll inquiries.

As an Executive Partner, you will strategically support clients, manage schedules, conduct research, and enhance productivity for founders and leaders.

The HubSpot Analyst will manage and optimize HubSpot CRM, ensure data integrity, design automations, and support cross-functional teams in driving efficiency and reporting.

Process and validate payroll for 110+ Guatemala employees, ensure compliance with Guatemalan labor and tax laws, manage payroll systems (Planilla, QuickBooks), handle employee inquiries, reconciliations, final pay, and continuous process improvements.

The Specialist, Sourcing is responsible for executing recruitment campaigns across various channels, ensuring a good candidate experience, and maintaining hiring metrics.

Own HubSpot CRM administration and integrations to optimize lead generation and conversion. Build automations, manage data hygiene, run A/B tests, produce dashboards and insights, and collaborate with sales, marketing, and engineering to grow pipeline and improve conversion rates.

Serve as the client–EA relationship lead: build and maintain client partnerships, resolve escalations, align EA capabilities, lead and develop a team of 15–18 EAs, drive process improvements, and manage global/timezone coordination to ensure member satisfaction and operational profitability.

Lead and grow a Platform Engineering team responsible for business-critical systems across sales, operations, billing, and AI. Define platform architecture and roadmap, drive cross-functional execution, build reusable workflow and integration systems, improve operational reliability and engineering practices, measure platform impact on business metrics, and communicate progress and tradeoffs to stakeholders.

The AI Engineering Intern will develop and enhance Large Language Models to improve task workflows, automate processes, and prototype AI features for client productivity.