Legacy-to-Cloud Transition: Support the re-architecting and migration of legacy SQL/NoSQL databases and ETL processes to Google Cloud (BigQuery, Cloud SQL).
Perform end-to-end accounts payable (AP) processing, including invoice verification, three-way matching (PO–DO/GRN–Invoice), and timely posting in the accounting system.
Please include a portfolio link or 2–3 examples of your writing, social posts, designs or videos in your CV. Tell us briefly about an IT or AI topic you would enjoy explaining to a business audience.
Drive end-to-end business analysis across data management, Microsoft Azure-based data services, analytics, Power BI and Gen AI initiatives, translating business needs into clear and actionable requirements that enable successful delivery.
Lead OS Implementation: Lead the design and implementation of the company innovation OS, integrating operational information, tasks, communications, SOPs, and management reporting.
You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.
Lead market research and on-site due diligence for AI Data Centre (AIDC) opportunities across Southeast Asia, including Indonesia, Malaysia, and Thailand, covering data centre facilities, high-density racks, industrial power availability, government incentives (e.g. green energy quotas), and competitor activities.
Empower & Educate: Design and deliver comprehensive training for recruiters, teaching them how to maximize Quake’s CRM, custom AI agents, and workflow automations.
Design, develop and maintain AI-powered software tools that support engineers in their daily development workflows, from coding and code analysis to testing, documentation and technical problem solving
Identify automation and AI opportunities across Operations functions (CS, Logistics, Fraud, Listings, etc.) through process discovery and stakeholder interviews
Lead the AI organization across AI, Machine Learning Solutions, Machine Learning Engineering, Machine Learning Operations and related platform or product-facing capabilities.