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Location: Yerevan, Armenia Problem Space Logistics operations today are still largely: manual reactive fragmented across tools running on incomplete or late data full of conflicting constraints under real-time decision pressure driven by evolving business rules a mix of legacy and new systems Much of this is unstructured: emails, documents, free-text updates, exceptions nobody modelled. That is where AI changes the game. We’re building a system that: ingests real-time operational data, structured and unstructured supports planning and execution decisions, with AI agents that act where it’s safe and hand over to humans where it isn’t adapts to constantly changing constraints What You’ll Work On AI in production. Building LLM- and agent-powered features into production .NET services: tool calling, structured outputs, retrieval over operational data, document and message understanding. The seams. Designing the boundaries between deterministic business logic and probabilistic AI: validation, fallbacks, human-in-the-loop. Trust. Making AI measurable and trustworthy: evals, test sets, observability, guardrails and cost/latency budgets. Ownership. Owning features end to end, from problem framing with product to running them in production. Design Principles keep things simple before scalable prefer explicit logic over magic abstractions, and that includes AI: deterministic where you can, model where you must optimize for change, not perfection (models, prompts and providers will change) measure AI behaviour, don’t trust vibes avoid “framework-driven architecture” accept that some parts will be ugly, temporarily Tech Stack .NET · Vue.js · service-oriented architecture · relational + operational data storage · cloud-based infrastructure · LLM APIs and agent tooling (e.g. Semantic Kernel / Microsoft.Extensions.AI, MCP) · vector/semantic search · eval and tracing tools How We Build AI-native development is the default. You use coding agents (e.g. Claude Code, Copilot) every day. You own what you ship, whoever typed it: you review AI-generated code critically, test it and understand it. What We Expect Strong, senior-level .NET engineering Ability to navigate uncertainty and work in ambiguity Willingness to challenge decisions Focus on outcomes, not just code Understanding of trade-offs and complex systems, including when not to use AI Preferring ownership over comfort Strong Plus Having shipped LLM/AI features to production and kept them running Experience with evals, prompt/version management or AI observability Python for prototyping and data work Logistics or other real-time operations domain experience What You Won’t Find Here over-engineering everything upfront unnecessary microservices “clean architecture” for the sake of it process-heavy development AI demos that never reach production wrapping a chatbot around a problem and calling it solved

Location: Yerevan, Armenia Role Purpose The AI Product Stream Lead defines and delivers AI-powered supply chain solutions that solve real customer and operations problems on the Cargoo platform. You own a product stream end to end, from framing where AI creates value (automation, decision support, agents) to shipping it and proving it works in production. You lead a cross-functional team, balancing customer value, technical and data feasibility, AI quality and cost, business priorities and delivery timelines. You also help set how Cargoo builds product in an AI-native way. Key Responsibilities AI Product Vision & Strategy Shape the stream’s product vision and strategy with stakeholders, in line with Cargoo’s AI strategy and customer needs. Identify and prioritize AI opportunities across freight operations (e.g. exception handling, quoting, document processing, planning and execution support) by value, feasibility and risk. Decide where AI should automate, where it should assist, and where a human must stay in control. Own product decisions, balancing customer value, technical feasibility, AI quality, cost, business priorities and delivery timelines. Leadership & Delivery Lead the development team through the whole product lifecycle, from discovery to rollout and adoption. Decide scope, schedule and quality, including when an AI feature is good enough to ship and when it needs another iteration. Run fast discovery loops: prototype with AI tools, validate with real users and data, then commit. Make sure the team meets internal policies, data protection rules and responsible-AI standards (incl. EU AI Act awareness). Product Management & Requirements Create clear Use Cases, Requirements and Business Rules. For AI features, add expected behaviour, edge cases, failure modes and escalation paths. Define success and evaluation criteria for AI features with engineering: accuracy, latency, cost per task and acceptable error rates, backed by representative test sets. Write User Stories and Acceptance Criteria that cover both deterministic logic and probabilistic AI behaviour. Work with engineering and data owners on data readiness: which data we need, its quality, and who owns it. Own and continuously refine the Product Backlog so the team always works on the highest-value opportunities. Track adoption and impact after release (time saved, automation rate, user trust) and feed the learning back into the roadmap. AI-Native Ways of Working Use AI tools every day for research, specs, prototyping, data analysis and feedback synthesis. Help the team and wider product org adopt AI-assisted delivery practices. Candidate Profile Education & Experience 5+ years managing software development projects, strongly preferably as a Product Owner. Proven managerial skills: team leadership, decision-making and conflict resolution. Degree or diploma in Information Technology, Informatics or a related field. Technical Skills (Must Have) Deep understanding of Agile values, principles and frameworks (Scrum, Kanban, Lean) and the ability to apply them well. Strong analytical skills, comfortable working with data to make product decisions. Solid working understanding of how LLMs and AI agents work, what they are good at, and where they fail (hallucinations, non-determinism, cost, latency). Hands-on, daily use of AI tools in your own work. Fluent English, written and spoken. Strong Plus Having shipped at least one AI/ML or LLM-based feature to production. Experience defining evaluation criteria or test sets for AI features. Logistics background or experience with logistics solutions. Experience with data products, workflow automation or decision-support systems. Behavioral Traits Excellent communication with technical and non-technical audiences, including customers, executives, managers and subject matter experts. Able to explain AI trade-offs in plain language. Strong leadership and decision-making, able to guide teams and resolve conflicts. Analytical, structured and value-driven in prioritization. Evidence over hype. Curious and fast-learning, comfortable with ambiguity and quick iteration.

Location: multiple locations Role Overview: At Cargoo, we are building supply chain products around complex, real-world logistics operations. It is understanding the actual problem, turning complexity into clear product decisions, and helping a development team deliver the right solution. We are looking for a Product Owner / Senior Business Analyst who can connect business needs, customer problems, and technology - and take ownership of turning them into working products. Problem space: Logistics product development means dealing with: • complex and evolving business rules • multiple stakeholders with different priorities • fragmented operational processes • incomplete requirements and changing assumptions • legacy + new system coexistence • customer needs vs. platform strategy • technical constraints • constant pressure to deliver value You will work in the middle of this complexity. Your job is to bring clarity, make decisions, and keep the team focused on what matters most. What you’ll own: • product vision and direction together with key stakeholders • translating real customer and business problems into product solutions • product scope, priorities, and delivery decisions • the Product Backlog and its continuous refinement • Use Cases, Requirements, and Business Rules • User Stories and Acceptance Criteria • balancing customer value, technical feasibility, business priorities, and timelines • keeping the development team aligned throughout the product lifecycle • ensuring delivered solutions support the wider Cargoo platform and business architecture How you’ll work: You will work closely with stakeholders, customers, subject matter experts, and the development team. You will: • ask questions until the actual problem is understood • challenge assumptions and unclear requirements • turn complex business processes into clear product logic • make decisions when priorities or requirements conflict • ensure the team always works on the highest-value opportunities • manage the balance between new functionality, maintenance, and product lifecycle needs • continuously improve how the team discovers, defines, and delivers products This is not a role where requirements are simply handed over to development. We expect you to understand the problem, own the decisions, and stay involved until value is delivered. What we expect from you: • 5+ years of experience in software or web product development, preferably in a Product Owner role • strong analytical and problem-solving skills • ability to navigate ambiguity and create structure from complexity • confidence making decisions and taking ownership of product outcomes • experience leading and working closely with software development teams • strong understanding of Agile values and principles, including Scrum, Kanban, and Lean • ability to communicate clearly with technical and non-technical audiences - from developers and subject matter experts to customers and executives • ability to manage competing priorities and delivery pressure • fluent English, both written and spoken • Degree or Diploma in Information Technology, Informatics, or a related field Experience with logistics or supply chain solutions is a strong plus. What you won’t find here: • requirements written only for the sake of documentation • backlog management without product ownership • decisions endlessly escalated instead of made • process for the sake of process • a perfectly defined problem waiting for you What matters to us: • clarity over complexity • outcomes over output • ownership over handovers • customer problems over feature requests • decisions over endless alignment • continuous improvement over perfect processes If this sounds like the kind of product environment where you do your best work - let’s talk.

Location: Warsaw, Poland Role Purpose: The Business Implementation Manager is responsible for the successful operational implementation and adoption of CSA Group’s digital freight and supply chain solutions across global business operations.The role focuses on translating strategic initiatives into scalable operational execution, ensuring that new processes, systems, and operating models are embedded effectively within daily workflows across ocean freight, procurement, freight execution, and control tower environments. The Business Implementation Manager acts as the bridge between business operations, technology, and customers, driving implementation readiness, operational alignment, stakeholder adoption, and measurable business outcomes.This role is heavily focused on business transformation, operational integration, process enablement, and user adoption rather than traditional project administration. Key Responsibilities: Lead end-to-end business implementation initiatives for freight execution, control tower, procurement, and ocean freight SaaS solutions. Drive operational readiness and ensure successful integration of new systems, workflows, and operating models into day-to-day business operations. Apply strong operational knowledge to help customers streamline logistics processes and optimize performance. Identify operational risks, process gaps, and adoption challenges, implementing mitigation and resolution plans proactively. Partner closely with Operations, Product, Technology, Procurement, and regional business teams to ensure alignment between system capabilities and operational needs Ensure implementation activities support scalable and standardised global operating models while accommodating regional business requirements where necessary. Collaborate with internal teams (Product, Engineering, Operations, Customer Success) to ensure smooth delivery and continuous improvement. Proactively identify opportunities to optimize customer processes and create efficiencies through the Cargoo platform. Represent Cargoo as a trusted advisor, reinforcing our reputation as a market leader in ocean logistics technology. Candidate Profile: Bachelor’s degree in Engineering, Supply Chain, Logistics, or a related field. Minimum of 3 years’ experience in ocean freight, supply chain, or SaaS implementation. Strong knowledge of operations and process optimization. Proven project management and stakeholder engagement skills. Excellent written and spoken English is a must ; German language skills are a plus. Ability to analyze business processes and design solutions that drive efficiency and cost savings. Strong communication skills with the ability to influence at all levels of an organization. A collaborative mindset and a passion for challenging the status quo in logistics.

Location: Zurich, Hamburg, Prague Role Overview: As our Marketing Manager, you will be a responsible for defining and executing the go-to-market strategy for our portfolio of Digital & Service-enabled solutions. This role requires a deep understanding of the logistics and supply chain market - its key players and customers to develop compelling messaging, positioning, and strategies that drive demand, adoption, and growth. This role can be pursued at either of our offices in Zurich, Hamburg or Prague. Responsibilities: Develop and execute comprehensive go-to-market strategies for new solutions, product enhancements, and market expansions. Conduct in-depth market research to understand customer needs, competitive landscape, and industry trends. Translate insights into actionable strategies that differentiate our products in the marketplace. Craft clear and compelling messaging and positioning that resonates with target audiences. Lead the planning and execution of product launches, coordinating with cross-functional teams to ensure seamless execution and strong market impact. Develop training materials and content to empower the sales team to effectively communicate the value of our service and product offerings. Conduct training sessions and webinars to ensure sales teams are well-equipped to win in the market. Utilize our most compelling customer success stories to refine product marketing strategies and drive customer advocacy. Define key performance indicators (KPIs) and metrics to track the success of product marketing initiatives. Regularly report on performance, adjusting strategies as needed to optimize results. Represent the company at industry events, conferences, and webinars. Contribute to the development of thought leadership content, including blogs, whitepapers, and speaking engagements, to enhance brand credibility and authority. Requirements: 5+ years of experience in Marketing or Customer Success in the Logistics, Logtech or Supply Chain industry. Bachelor’s degree in Marketing, Business, or a related field; MBA or advanced degree preferred. Exceptional written and verbal communication skills in English. Strong strategic thinking and analytical skills. Proven ability to work across cross-functional teams and manage multiple projects simultaneously. Deep understanding of market research techniques and data analysis. Experience with product management and product lifecycle management. Ability to thrive in a fast-paced, dynamic environment. Proficiency in marketing automation platforms, CMS, CRM systems, and analytics tools (e.g., Framer, HubSpot, Google Analytics).

Location: multiple locations Role Overview: At Cargoo we are building the infrastructure that makes Freight reliable and scalable. Real-time logistics systems, built in .NET. Problem space: Logistics operations today are still largely: manual reactive fragmented across tools incomplete / late data conflicting constraints real-time decision pressure evolving business rules legacy + new system coexistence We’re building a system that: ingests real-time operational data supports planning & execution decisions adapts to constantly changing constraints Design principles: keep things simple before scalable prefer explicit logic over magic abstractions optimize for change, not perfection avoid “framework-driven architecture” accept that some parts will be ugly — temporarily Tech stack: .NET Vue.JS service-oriented architecture relational + operational data storage cloud-based infrastructure What we expect from engineers: Ability to navigate uncertainty and work in ambiguity Willingness to challenge decisions Focus on outcomes, not just code Understanding of trade-offs and complex systems Preferring ownership over comfort What you wont find here : over-engineering everything upfront unnecessary microservices “clean architecture” for the sake of it process-heavy development If this resonates with you – lets talk! Send us: your LinkedIn / GitHub OR a short message explaining what you’ve built and why it matters