Portcast

logistics technology

HeadofTech(Engineering&AI)

Singapore, Singapore FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Director candidates.

The Brief

“Head of Tech (Engineering & AI) at Portcast. Skills: Engineering Leadership, Architecture, AI, Data Science & Analytics Strategy, Product & Business Alignment, Team, Culture & Organizational Development, Hands-On Technical Leadership. lead and manage the Engineering team, ML/Data Science team, and Data Analytics team. drive how we build, how we use data and AI, and how our systems scale”

What You'll Achieve.

translate real customer problems into systems, tools, and AI capabilities that drive outcomes, value to our customer and company revenue, not just features; Software Engineering, ML, and Analytics operate as a clear, structured, and high-performing unit with defined ownership and 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; Ensure AI investments translate into real outcomes, not just experiments; Ensure engineering effort maps directly to business impact; Focused on effectiveness and real outcomes

Industry & Context.

logistics technology
Problems you'll solve

thinks from first principles; makes clear decisions; step into complex problems, break them down clearly; guide teams toward practical, scalable solutions; breaks down complex problems clearly; Step into complex technical problems when needed; Prototype or validate high-impact ideas; Lead by example in technical depth and problem solving

What They're Looking For.

Must Have

10+ years in software engineering, data, or ML environments, Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related field, Software heavy background who understands data, AI, system design and infrastructure, Experience leading technical teams in a startup or product-driven B2B SaaS company, Track record building and scaling production AI/ML systems, Experience with distributed systems, real-time data, and cloud infrastructure, First-principles thinker who breaks down complex problems clearly, High ownership and accountability, Builder mindset with technical judgment, Clear communicator across technical and business teams, Focused on effectiveness and real outcomes

Nice to Have

Background in logistics or supply chain industry, or data-heavy SaaS is a plus, Previous experience working in enterprises/fortune 500 is a plus

What You'll Do.

lead and manage the Engineering team

and Data Analytics team

how we use data and AI

and how our systems scale

set the technical bar

strengthen how teams work together

and analytics move as one cohesive capability

Own technical direction across platform

Define scalable architecture and ensure reliability

Improve engineering velocity

and delivery discipline

Strengthen documentation

Mentor tech team: Engineering

Define how AI and data drive competitive advantage in our product

Ensure ML models move from experimentation into production environments

and real-time data systems

Align analytics insights with product and customer decision-making

Ensure AI investments translate into real outcomes

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

Lead and develop Engineering

Hire senior talent and raise the technical bar

Create clarity in roles

and technical ownership

Reduce single-point dependency across critical systems

Build a culture of accountability

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 depth and problem solving

How You'll Work.

Team & Collaboration

work closely with the CEO, Product, Sales, and Customer teams; strengthen how teams work together; ensure engineering, ML, and analytics move as one cohesive capability supporting the business; Partner closely with Product to shape technical roadmap; Work with Sales and Customer teams to understand enterprise requirements; Build a culture of accountability, curiosity, and effectiveness

Communication Scope

Clear communicator across technical and business teams

Process & Methodology

delivery discipline, delivery predictability

Full Job Description

## Description 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.   ABOUT THE ROLE:    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

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