Tech & AI Director

Portcast is a venture-backed, Singapore-based logistics technology startup building a real-time transportation visibility platform for global supply chains. We help shippers, manufacturers, and logistics service providers turn data into decisions and decisions into measurable business impact.

Our platform goes beyond visibility. Portcast enables action at scale by surfacing the right risks early, helping teams prevent detention and demurrage, accelerate exception management, and close invoices faster with built-in evidence. We turn visibility into outcomes: reduced costs, improved operational control, and more predictable supply chains.

Founded in 2018 and backed by leading technology investors, we are building for an industry at a critical inflection point of digital transformation. Our team of software engineers, data scientists, and logistics experts is on a mission to make supply chains not just visible, but decisively actionable end-to-end.

We’re looking for a Technical & AI Director to lead our engineering, ML/DS, and analytics teams while staying close to architecture and execution.

This role will lead and manage the Engineering team, ML/Data Science team, and Data Analytics team. You’ll drive how we build, how we use data and AI, and how our systems scale as the company grows.

We’re looking for a strong technical leader who thinks from first principles, makes clear decisions, and stays close to the technology. Someone who can step into complex problems, break them down clearly, and guide teams toward practical, scalable solutions.

You’ll work closely with the CEO, Product, Sales, and Customer teams to translate real customer problems into systems, tools, and AI capabilities that drive outcomes, value to our customer and company revenue, not just features. This is not a pure management role. It requires strong technical judgment, comfort operating across engineering and data, and the ability to lead through both direction and execution.

You’ll set the technical bar, strengthen how teams work together, and ensure engineering, ML, and analytics move as one cohesive capability supporting the business.

• Engineering, ML, and Analytics operate as a clear, structured, and high‑performing unit with defined ownership and strong delivery predictability.
• Technical decisions are grounded in first‑principles thinking, scalable architecture, and long‑term product clarity.
• AI and data capabilities are consistently deployed into production and directly tied to measurable business impact.

• Engineering Leadership & Architecture
• Own technical direction across platform, infrastructure, and product systems
• Define scalable architecture and ensure reliability, performance, and security
• Improve engineering velocity, code quality, and delivery discipline
• Strengthen documentation, ownership, and system clarity
• Mentor tech team:
  Engineering, ML, Analytics

• AI, Data Science & Analytics Strategy
• Define how AI and data drive competitive advantage in our product
• Ensure ML models move from experimentation into production environments
• Strengthen MLOps, data pipelines, and real‑time data systems
• Align analytics insights with product and customer decision‑making
• Ensure AI investments translate into real outcomes, not just experiments

• Product & Business Alignment
• Partner closely with Product to shape technical roadmap
• Work with Sales and Customer teams to understand enterprise requirements
• Guide solution design for complex customer use cases; ensure engineering effort maps directly to business impact

• Team, Culture & Organizational Development
• Lead and develop Engineering, ML/Data Science, and Analytics teams
• Hire strong senior talent and raise the technical bar
• Create clarity in roles, responsibilities, and technical ownership
• Reduce single‑point dependency across critical systems
• Build a culture of accountability, curiosity, and effectiveness

• Hands‑On Technical Leadership
• Stay close to architecture and key system decisions
• Review critical designs and technical proposals
• Step into complex technical problems when needed
• Prototype or validate high‑impact ideas
• Lead by example in technical…