Our company is a leading Corporate Fleet Expense Management platform that offers electronic payment and effective management to enterprise fleet expenses such as fuel, toll, repair, maintenance, etc. We are serving over 400 corporate clients with fleets ranging from 50 to 5,000+ vehicles.

We are on a mission to become an AI-first fleet intelligence platform. Our strategic roadmap includes:

• Fully cloud operation (AWS and/or other public cloud provider, cloud-native, microservices).

• AI-powered document processing and fleet expense knowledge (OCR, invoice/bill collection, cost optimization).

• Predictive AI models for fuel, maintenance, and operational budgeting.

• Scalable payment infrastructure with real-time reconciliation.

We are seeking a visionary Head of Engineering with deep experience in B2B SaaS architecture, AWS cloud transformation, and production-grade AI/ML systems to lead this evolution.

1. Cloud & Architecture Leadership

• Lead end-to-end migration from on-premise to AWS cloud-native architecture.

• Design highly scalable, event-driven microservices (99.99% uptime, sub-100ms payment latency).

• Implement infrastructure as code (Terraform, CDK), CI/CD, and observability (Datadog, Prometheus).

2. AI & Data Platform Ownership

• Build an enterprise-grade OCR engine (Vietnamese/English invoices, receipts, fuel tickets).

• Develop AI Operational Insights: predictive cost modeling, anomaly detection, and budget automation.

• Own MLOps pipeline (SageMaker, Kubeflow, feature store, model monitoring).

3. Engineering Leadership

• Scale and mentor a 5+ person engineering team (Backend, Frontend, DevOps, Data, AI).

• Establish excellence in engineering: code reviews, TDD, security by design, and OKR framework.

• Drive technical roadmap alignment with Product, Growth, and Compliance teams.

4. Security, Compliance & Performance

• Ensure ISO 27001 and Personal Data Protection compliance.

• Design zero-downtime deployment, disaster recovery, and chaos engineering practices.

• Optimize for cost efficiency (FinOps) and global scalability.

5. Growth-Enabling Tech

• Enable A/B testing, feature flagging, and real-time analytics for rapid product iteration.

• Support growth hacking via technical infrastructure (webhooks, event tracking, CDP).