Portcast
logistics technology
HeadofTech(Engineering&AI)
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“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.
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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