At Suply, customer outcomes are the measure of success. That’s why we embed directly with the companies we serve, ensuring they don’t just use Suply, they win with it.

As a Customer Intelligence Engineer, you’ll be on the front lines with exporters, logistics teams, and insurers. Your job: understand their toughest operational and commercial challenges, and use Suply’s platform to solve them. Sometimes that’s configuring dashboards to prove cold-chain integrity; sometimes it’s streamlining claims; sometimes it’s finding signals in noisy IoT data that no one else can see.

You’ll be the bridge between our product and the real world, shaping solutions where they matter most and making sure every customer extracts maximum value.

What You’ll Do

• Interrogate the problem. Customers often tell us “visibility” is the issue. It rarely is. You’ll dig like an investigator, asking the uncomfortable questions, peeling back layers, and uncovering the real pain hiding beneath the surface.

• Psychologist meets strategist. You’ll read between the lines, spotting the friction points customers can’t articulate. Not the paracetamol, but the antibiotic.

• Unearth the iceberg. Where others see missed milestones, you’ll discover the real challenge: high-risk ports, vulnerable routes, and regulators pressuring importers to prove compliance. Suply’s data can solve problems customers don’t even know they have, you’ll be the one to reveal them.

• Embed deeply. From ops teams to execs, you’ll make Suply a tool that people rely on daily to do their jobs better, faster, and with less stress. The deeper we dig, the harder we are to unplug.

• Turn noise into clarity. Raw sensor data, scattered milestones, and opaque risks become clear, actionable intelligence in your hands.

• Drive adoption. You’ll ensure onboarding isn’t just a training session, it’s a cultural shift in how customers manage risk.

• Close the feedback loop. Every hidden insight you uncover informs how we refine Suply, keeping us one step ahead of both customer needs and industry pressures.

• Prove value relentlessly. Every deployment must be ROI-positive, undeniable, and tied to outcomes that matter to both operators and executives.

What We Value

• Curiosity and grit — someone who leans into ambiguity and keeps going until the problem is solved.

• Strong problem-solving skills, technical enough to work with data and systems, commercial enough to engage execs.

• Clear communication across audiences: warehouse managers, logistics directors, and C-suite alike.

• Comfort working in fast-moving, sometimes messy environments where iteration is constant.

• Willingness to travel (20–40%) to customer sites worldwide.

• Interest in global trade, perishable supply chains, and how AI can reshape them.

What’s Required

• Background in supply chain, logistics, engineering, data, or SaaS deployment.

• 2–5 years’ experience owning customer outcomes and delivering measurable impact.

• Technical fluency — comfortable with data and systems.

• Systems mindset — think in data flows, integrations, and dependencies.

• Analytical depth — interrogate data, connect dots, spot patterns others miss.

• Relentless problem-solver — you don’t treat symptoms; you hunt root causes.

• Language skills — English and Spanish

• Startup mindset — adaptable, self-directed, outcome-driven.

Life at Suply

We’re building a global company from day one — headquartered in London and Copenhagen, embedded in Latin America, expanding into Asia. Our culture is fast, direct, and impact-driven. Small teams, real ownership, big outcomes.

If you want to help the world’s most important supply chains become smarter, faster, and more resilient — this is where you belong.

At Suply, customer outcomes are the measure of success. That’s why we embed directly with the companies we serve — ensuring they don’t just use Suply, they win with it.

As a Customer Intelligence Engineer, you’ll be on the front lines with exporters, logistics teams, and insurers. Your job: understand their toughest operational and commercial challenges, and use Suply’s platform to solve them. Sometimes that’s configuring dashboards to prove cold-chain integrity; sometimes it’s streamlining claims; sometimes it’s finding signals in noisy IoT data that no one else can see.

You’ll be the bridge between our product and the real world — shaping solutions where they matter most and making sure every customer extracts maximum value.

What You’ll Do

• Interrogate the problem. Customers often tell us “visibility” is the issue. It rarely is. You’ll dig like an investigator — asking the uncomfortable questions, peeling back layers, and uncovering the real pain hiding beneath the surface.

• Psychologist meets strategist. You’ll read between the lines, spotting the friction points customers can’t articulate. Not the paracetamol, but the antibiotic.

• Unearth the iceberg. Where others see missed milestones, you’ll discover the real challenge: high-risk ports, vulnerable routes, and regulators pressuring importers to prove compliance. Suply’s data can solve problems customers don’t even know they have — you’ll be the one to reveal them.

• Embed deeply. From ops teams to execs, you’ll make Suply a tool that people rely on daily to do their jobs better, faster, and with less stress. The deeper we dig, the harder we are to unplug.

• Turn noise into clarity. Raw sensor data, scattered milestones, and opaque risks become clear, actionable intelligence in your hands.

• Drive adoption. You’ll ensure onboarding isn’t just a training session — it’s a cultural shift in how customers manage risk.

• Close the feedback loop. Every hidden insight you uncover informs how we refine Suply, keeping us one step ahead of both customer needs and industry pressures.

• Prove value relentlessly. Every deployment must be ROI-positive, undeniable, and tied to outcomes that matter to both operators and executives.

What We Value

• Curiosity and grit — someone who leans into ambiguity and keeps going until the problem is solved.

• Strong problem-solving skills, technical enough to work with data and systems, commercial enough to engage execs.

• Clear communication across audiences: warehouse managers, logistics directors, and C-suite alike.

• Comfort working in fast-moving, sometimes messy environments where iteration is constant.

• Willingness to travel (20–40%) to customer sites worldwide.

• Interest in global trade, perishable supply chains, and how AI can reshape them.

What’s Required

• Background in supply chain, logistics, engineering, data, or SaaS deployment.

• 2–5 years’ experience owning customer outcomes and delivering measurable impact.

• Technical fluency — comfortable with data and systems.

• Systems mindset — think in data flows, integrations, and dependencies.

• Analytical depth — interrogate data, connect dots, spot patterns others miss.

• Relentless problem-solver — you don’t treat symptoms; you hunt root causes.

• Language skills — English and Other EMEA Languaage.

• Startup mindset — adaptable, self-directed, outcome-driven.

Life at Suply

We’re building a global company from day one — headquartered in London and Copenhagen, embedded in Latin America, expanding into Asia. Our culture is fast, direct, and impact-driven. Small teams, real ownership, big outcomes.

If you want to help the world’s most important supply chains become smarter, faster, and more resilient — this is where you belong.

Software Engineers at Suply build the tools that are transforming how the world’s most important perishable supply chains operate. You’ll write software that makes the invisible visible: turning raw sensor data into condition intelligence, mapping real-time risks across ports and vessels, and creating interfaces that give customers clarity when it matters most.

As a Suply Engineer, you’ll work in small, focused teams that own features end to end — from idea to design to shipping. One sprint you might be creating a dashboard that lets exporters prove their cargo stayed in spec; the next, you could be building AI-driven models that annotate reefer defrost cycles or predict port congestion. Your code will have direct impact on industries where hours and degrees mean millions.

Core Responsibilities

• Own features across the lifecycle: design, prototype, build, deploy, iterate.

• Collaborate with product managers, designers, and customer engineers to understand real-world problems and translate them into scalable solutions.

• Work with IoT data streams, external APIs, and cloud infrastructure to power Suply’s intelligence layer.

• Write clean, maintainable, and reliable code while moving quickly.

• Learn directly from customers and bring those insights back into the product.

What We Value

• Ownership — you see projects through, even when things get messy.

• Collaboration — you’re as comfortable working with engineers as you are learning from logistics specialists and customer teams.

• Trust — you thrive with autonomy but know when to ask for input.

• Curiosity — you want to understand how global trade works and how AI can change it.

Technologies We Use

You don’t need to know them all — but you do need to learn fast and build clean, effective systems. Suply’s stack evolves with our mission. Right now, we’re building with:

• Backend — Python for AI and data pipelines, Go for high-performance services, Node.js where it fits best

• Frontend — TypeScript, React, Tailwind for modern, fast interfaces

• Infrastructure — AWS, containers, CI/CD pipelines, Terraform for global scalability

• Data & Intelligence — PostgreSQL, Elasticsearch, Spark, evolving toward Polars and DuckDB, with Suply’s custom AI models

• AI & Machine Learning — PyTorch, scikit-learn, XGBoost, and LLM frameworks integrated into Suply Intelligence

• Emerging Tech — Vector databases such as pgvector and Weaviate, real-time streaming with Kafka and Redpanda, large-scale geospatial and time-series analysis

• Next Horizon — moving deeper into Palantir’s ecosystem, embedding our intelligence into Foundry to extend customer impact

We’re pragmatic about tools: if it helps us move faster and deliver value, we’ll use it. Our goal isn’t to chase hype — it’s to build the most powerful intelligence layer in global trade.

What We Require

• Background in Computer Science, Engineering, Data Science, or similar.

• Proficiency in at least one modern programming language (Python, Go, Java, JavaScript, or similar).

• Familiarity with cloud infrastructure, data structures, and modern software development practices.

• Ability to work in small, agile teams where iteration is constant and feedback loops are fast.

Life at Suply

Suply is headquartered in London and Copenhagen, with operations across Latin America and Asia. We work closely with customers in the field — from farms and packhouses to ports and insurers — so you’ll see the impact of your code in the real world.

We’re fast, direct, and outcome-driven. We believe in small teams with big autonomy, and in building products that make a measurable difference.

If you want to write code that helps feed the world and make supply chains smarter, faster, and more resilient — this is where you belong.

As a Data Engineer at Suply, you’ll be at the core of how we transform raw signals into meaningful intelligence. You’ll design and maintain pipelines that ingest, clean, and combine IoT device data, shipping milestones, AIS vessel data, and contextual risk information into coherent, high-quality datasets.

You won’t just wrangle data — you’ll architect KPIs, dashboards, and workflows that our customers and internal teams rely on to make critical decisions. You’ll help optimize stability, scalability, and cost across our data stack, while providing real-time insights that influence product development, customer value, and business strategy.

Suply’s customers — from global fruit exporters to seafood giants to insurers — depend on us to make sense of noisy, incomplete data. You’ll ensure we deliver clarity every time.

Core Responsibilities

• Build and maintain robust pipelines that bring together IoT data, logistics milestones, and external datasets (AIS, weather, port risk, etc.).

• Develop KPIs and dashboards that measure shipment integrity, claims reduction, and operational performance.

• Monitor data pipelines for stability and efficiency, implementing improvements proactively.

• Own projects end-to-end: from concept to delivery, with clear stakeholder communication.

• Provide frontline product teams with data-driven feedback to inform feature development.

• Create custom analyses and visualizations that help customers and Suply teams act on intelligence.

• Serve as an expert on the foundational datasets that underpin Suply’s products.

• Respond quickly to tactical questions from customers or internal teams about shipments, devices, and risks.

What We Value

• Ability to thrive in ambiguity and bring structure to messy data.

• Entrepreneurial mindset — always asking how intelligence can be sharper, faster, or more impactful.

• Collaborative spirit: comfortable working with engineers, product managers, and customer-facing teams.

• Curiosity about supply chains, logistics, and global trade.

• Hunger to learn new tools and approaches, and apply them in production.

What We Require

• Degree in Computer Science, Data Science, Engineering, Mathematics, or related quantitative fields.

• 1–3 years’ experience in a data engineering or analytics role.

• Strong skills in Python and SQL for data manipulation and analysis.

• Experience with BI tools (e.g., Metabase, Superset, or similar).

• Familiarity with data pipelines and cloud infrastructure.

• Bonus: experience with Spark, time-series databases, or geospatial data.

Life at Suply

Suply is headquartered in London and Copenhagen, with operations across Latin America and Asia. We’re lean, fast, and outcome-focused. Our customers rely on us in high-stakes environments — shipments worth millions, reputations on the line — so the quality and clarity of our data is everything.

If you want to be part of a team building the data backbone of global trade — and make a visible impact on industries that feed the world — this is where you belong.

Re-Engineering Global Ocean Shipping

The ocean container industry moves 90% of world trade — but its systems are complex, fragile, and often opaque. Suply is building the intelligence layer that makes these supply chains smarter, faster, and more resilient. We combine IoT devices, shipping milestones, AIS vessel data, and AI to turn noise into actionable intelligence for exporters, importers, and insurers.

Now we’re looking for someone who has lived inside the complexity of container shipping — and wants to reimagine it with us.

The Role

Principal Ocean Intelligence Engineer — Copenhagen

This is not a standard role. You will bring years of domain expertise in container shipping systems — the scheduling, the vessel networks, the EDI feeds, the real-world edge cases — and fuse that with cutting-edge AI and data pipelines at Suply.

Your job: take the lessons and scars from shipping line systems, and help us build something better. That means architecting models that reconcile messy carrier data, creating new ways to map vessel operations, and designing intelligence layers that turn opaque milestones into clear, trustworthy signals for our customers.

You’ll collaborate with data scientists, engineers, and customer intelligence teams — but you’ll be the person who knows how the shipping lines really work. Based in our Copenhagen office, you’ll shape Suply’s core intelligence, influence product strategy, and unlock capabilities that no one else in the market can match.

Core Responsibilities

• Apply deep shipping line expertise to design scalable intelligence models that reflect real-world container operations.

• Architect complex systems that fuse EDI, AIS, IoT, and external data into coherent, high-value outputs.

• Build algorithms that handle schedule changes, port calls, transshipments, and exceptions with mathematical rigor.

• Work with Suply’s AI and product teams to translate messy industry data into clean, reliable insights.

• Mentor engineers and data scientists on the unique complexities of the container shipping domain.

• Push the boundaries of how intelligence can reshape containerized trade — from risk scoring to predictive routing.

What We Value

• Deep domain expertise: you’ve worked inside container shipping systems at a carrier, alliance, or major TMS/ERP vendor.

• Mathematical and technical depth: strong background in mathematics, computer science, or operations research.

• System design skills: proven experience architecting or building complex software systems for shipping or logistics.

• Curiosity and ambition: you want to take everything you know and push it further with AI.

• Collaboration: you can guide engineers without shipping backgrounds to build products that actually reflect industry reality.

• Pragmatism: you know shipping is messy — and you build systems that handle that mess.

What We Require

• Degree in Mathematics, Computer Science, Engineering, or related quantitative field.

• 7+ years’ experience in container shipping systems, ocean carrier IT, or equivalent.

• Hands-on experience building or architecting large-scale, data-driven systems.

• Strong programming background (Python, Java, or similar).

• Familiarity with optimization, scheduling algorithms, and real-time data feeds.

• Copenhagen-based, with occasional travel to ports, customers, and global partners.

Life at Suply

Suply is headquartered in London and Copenhagen, with operations across Latin America and Asia. We’re fast, direct, and outcome-driven. Our work happens at the intersection of mathematics, AI, and the realities of global trade.

Joining Suply means taking everything you’ve learned in container shipping — and applying it to reshape how the industry works for decades to come.

If you want to use your expertise to build the next intelligence layer for global trade, join us in Copenhagen.

Inside every container is a world of physics: airflow, heat transfer, humidity, respiration, and constant adjustments by refrigeration units. Small differences can determine whether millions of dollars of produce arrive in perfect condition — or not at all.

Suply is building the next generation of Condition Intelligence for global trade. We combine IoT data, AI, and domain expertise to create digital twins of shipments — allowing exporters, importers, and insurers to understand risks in real time, prove quality, and prevent losses.

We’re looking for an Architect of Cargo Physics: someone with deep expertise in fluid dynamics, thermodynamics, or applied physics who can model, predict, and explain the conditions inside containers — and fuse that science with Suply’s AI.

The Role

This isn’t an ivory-tower research role. At Suply, we run a fully functional research lab: refrigerated containers of various sizes, loaded with different cargo types, where we test devices, study airflow, and validate our models against the real world.

You’ll have access to hands-on experiments, live data streams, and complex operational scenarios. Your work will move seamlessly from simulation to container to production — directly shaping the models that customers, insurers, and exporters rely on.

Core Responsibilities

• Develop and refine models of airflow, heat transfer, and humidity dynamics inside containers.

• Run real-world experiments in Suply’s research lab, validating physics-based models with live data.

• Fuse physics-informed models with machine learning frameworks for scalable intelligence.

• Analyze large sensor datasets from shipments worldwide, identifying patterns and anomalies.

• Collaborate with engineers, data scientists, and product managers to deploy models into production.

• Help Suply push the frontier of “Condition Intelligence” — bridging theory, experimentation, and AI.

What We Value

• Scientific depth — PhD or equivalent expertise in Fluid Dynamics, Thermodynamics, Applied Physics, or related fields.

• Hands-on mindset — excitement about testing theories with real containers, cargo, and devices.

• Practical application — ability to move from physics to algorithms to product.

• Collaboration — working closely with engineers, AI specialists, and logistics experts.

• Curiosity — you want to understand complex systems and make them explainable.

What We Require

• Advanced degree (PhD preferred) in Fluid Dynamics, Thermodynamics, Applied Mathematics, or related quantitative discipline.

• Experience modeling airflow, heat transfer, or environmental physics.

• Strong skills in Python, MATLAB, or similar tools for computational modeling.

• Experience with large datasets and integrating models with machine learning.

• Based in London, with occasional travel to research partners, ports, and customer sites.

Life at Suply

Suply is headquartered in London and Copenhagen, with operations across Latin America and Asia. We’re fast, direct, and outcome-driven — operating at the intersection of science, AI, and global trade.

Joining Suply means you’ll take everything you know about physics and systems — and apply it in the real world of global shipping. You’ll have your own laboratory, real containers, and datasets from thousands of shipments at your disposal. Your work won’t just be theoretical — it will be tested, validated, and deployed where it matters most.

If you want to architect the science that keeps the world’s food moving — this is your role.