Top Tech Jobs & Startup Jobs

Design, develop, deploy, and maintain intelligent automation solutions using Microsoft Power Platform, Azure AI, Copilot technologies, RPA, APIs, and enterprise applications. Build AI-powered workflows, autonomous agents, and digital assistants for document processing, email triage, content generation, summarization, and decision support. Apply governance, security, compliance, and Responsible AI practices while improving automation reliability, scalability, and operational efficiency across global logistics processes.

Coordinates daily work allocation, roster planning, productivity reporting, KPI monitoring, and dispute resolution across customer service, sales, and front-office teams. Supports process improvement, standardization, best-practice research, coaching, feedback, customer focus, equipment issue resolution, and data analysis. Requires strong Spanish and English communication, finance or disputes experience, Microsoft Office literacy, onsite work in Pasig City, and night-shift availability.

Build and scale AI-powered full-stack applications using React or Next.js, Python backends, LLMs, vector databases, RAG pipelines, and multi-agent workflows. Deploy production systems with Docker, Kubernetes, CI/CD, cloud infrastructure, monitoring, and evaluation frameworks. Partner with business users to define solutions and measure accuracy, cost, token usage, and latency. The role requires leading applied AI development across frontend, backend, infrastructure, and production operations.

Manage end-to-end supply chain dispute resolution by investigating shipment and transaction histories, analyzing revenue and cost discrepancies, reconciling records, processing SAP amendments, and coordinating with customers and internal teams. Determine dispute outcomes, manage purchase order and financial adjustments, document root causes, implement corrective actions, monitor KPIs, and ensure compliance with controls, SOPs, and quality standards.

Manages end-to-end supply chain dispute resolution by investigating shipment and transaction histories, analyzing revenue and cost discrepancies, evaluating claims, coordinating with customers and internal stakeholders, processing system and purchase order amendments, performing reconciliations, and implementing corrective actions. Maintains accurate documentation, follows controls and SOPs, monitors KPIs, and owns disputes through timely closure.

Monitor and resolve operational exceptions, system errors, and workflow issues across Lead Logistics platforms. Investigate IDOC, PO, SO, invoice, and workflow problems, perform root cause analysis, implement corrective actions, collaborate with cross-functional teams, support deployments, identify automation opportunities, and maintain SLAs, reporting, and compliance.

Manage customer channels and cases, support customer onboarding and relationship management, and handle contracts and disputes. The role contributes to global logistics operations, collaborates across geographies, and supports continuous improvement and customer experience.

Onboard and manage customers, coordinate shipment operations, execute agreed procedures, resolve exceptions, and drive continuous improvement. Serve as the primary customer contact, manage escalations, support business continuity planning, conduct monthly reviews, and deliver KPI and SLA performance. Identify upselling and cross-selling opportunities, reinforce contract fulfillment, and partner with customers on value-enhancing initiatives. The role requires strong communication, problem-solving, data skills, logistics product knowledge, and mandatory Qatar regional experience.

Design, build, and operate scalable batch and streaming data pipelines, orchestration workflows, governed datasets, and data products. Develop data models and analytics foundations supporting BI, AI, ML, and GenAI use cases. Partner with product, analytics, data science, AI, and business teams to translate requirements into production-ready solutions. Monitor and improve reliability, performance, quality, security, observability, and operational support across data and ML workflows.

Own the architecture and implementation of large-scale data and AI platforms. Design storage, pipelines, services, applications, and agentic systems; establish standards for governance, interoperability, security, observability, and cost management; and personally deliver production code. Lead migrations, build agentic engineering tooling, deploy LLM systems, make build-versus-buy decisions, conduct technical reviews, mentor engineers, and partner with product and business stakeholders. This is a hands-on individual contributor role with no direct reports.