> Markdown version of [/jobs/ext/2022878-ai-product-owner](https://www.wearedevelopers.com/jobs/ext/2022878-ai-product-owner). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Ai Product Owner - **Company:** Visium SA - **Location:** Laza, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Cloud Engineering, Information Engineering, Data Infrastructure, Scrum Methodology, Software Product Management, Data Strategy, Machine Learning Operations - **Published:** August 11, 2026 - **Apply:** https://www.buscojobs.com.es/ai-product-owner-en-laza-ID-366953328 ## About the Role Stakeholder & Communication Manages senior stakeholders, facilitates discussions, resolves conflicts Influences without authority; communicates clearly up to executive level Technical & AI/ML Understanding Strong technical foundation; able to challenge engineering decisions constructively Understands the full ML lifecycle (exploration, development, validation, deployment, monitoring) and AI project phases (PoC, MVP, production) Translates technical trade-offs into business implications and connects model metrics to KPIs Product & Delivery Excellence Track record of delivering AI/ML or data-driven products from prototype to production Prioritizes based on business impact and technical feasibility; manages ambiguity effectively Experienced in Agile/Scrum, backlog management, and delivery cadence Operational & Organizational Strength Creates structure in ambiguous, fast-paced environments with strong attention to detail Manages timelines, dependencies, and risks across multiple workstreams Balances team focus with stakeholder responsiveness while maintaining speed and quality Profile 4+ years in project management + 4+ years in AI Master's or higher in CS, AI, Data Science, or related field Domain exposure to formulation, chemistry, or F&F industry (preferred) English fluent; French strongly preferred ## Description Title: AI Product OwnerLocation: BarcelonaAbout usAt Visium, we enable enterprise executives in defining their AI & Data strategy, execute large scale transformations and implement AI across operations, ensuring their organization becomes future-proof.With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, we empower our clients to unleash and scale the power of their data.We're on a mission to pioneer a bright future and build future-proof and ethical organizations . Join the curious, the ambitious, the doers, the good-hearted, the ones who build a world we're all in awe of - our Visumees.Ready to become one?RoleAs an AI Product Owner, you are the connective tissue between a high-velocity engineering team and key business stakeholders. You operate at the intersection of technology and business, ensuring that AI solutions are not only technically sound but also business relevant and operationally viable.You will focus on orchestrating delivery, aligning stakeholders, and maintaining a strong project cadence. While you won't write code, you will actively engage in technical discussions with AI/ML Engineers, Data Engineers/Modellers, Infrastructure, Architecture, and Security teams, challenge assumptions, and ensure that AI & Data engineering decisions are grounded in real-world business needs.Your responsibilities will include:Act as the primary interface between technical teams and business stakeholders, ensuring clear alignment on goals, scope, and prioritiesTranslate business needs into structured product and project requirementsChallenge and validate technical decisions to ensure feasibility, scalability, and business impactProtect engineering teams from ad-hoc requests and scope creep, maintaining focus and delivery velocityOwn and manage the project "heartbeat" (planning, prioritization, resource management, progress tracking, and reporting)Drive delivery for the entire AI product lifecycle (PoC, MVP, Production), ensuring robustness and scalability of AI solutionsFacilitate communication across cross-functional teams, including IT, Business and external stakeholdersIdentify risks early and proactively manage dependencies and trade-offsEnsure continuous alignment between product vision and executionWho you areTechnically fluent:Solid AI & data foundation; can challenge engineering decisions constructivelyStrategic: Connects technical work to business goals and long-term valueOrganized: Brings structure to ambiguity and ensures consistent executionCommunicator: Bridges technical and non-technical audiences with confidencePragmatic: Balances perfection with progress to keep teams movingRequirementsStakeholder & CommunicationManages senior stakeholders, facilitates discussions, resolves conflictsInfluences without authority; communicates clearly up to executive levelTechnical & AI/ML UnderstandingStrong technical foundation; able to challenge engineering decisions constructivelyUnderstands the full ML lifecycle (exploration, development, validation, deployment, monitoring) and AI project phases (PoC, MVP, production)Translates technical trade-offs into business implications and connects model metrics to KPIsProduct & Delivery ExcellenceTrack record of delivering AI/ML or data-driven products from prototype to productionPrioritizes based on business impact and technical feasibility; manages ambiguity effectivelyExperienced in Agile/Scrum, backlog management, and delivery cadenceOperational & Organizational StrengthCreates structure in ambiguous, fast-paced environments with strong attention to detailManages timelines, dependencies, and risks across multiple workstreamsBalances team focus with stakeholder responsiveness while maintaining speed and qualityProfile4+ years in project management + 4+ years in AIMaster's or higher in CS, AI, Data Science, or related fieldDomain exposure to formulation, chemistry, or F&F industry (preferred)English fluent; French strongly preferredWhat we offerA competitive compensation packageA yearly education budget to steep your learning curveA yearly sport budget because a fit body leads to a fit mindA flexible working culture because your work-life balance matters to usA position that enables you to have an impact on 1'000s of people, and the whole company's growth.An international, knowledgeable, and passionate team with a strong collaborative mindsetCheck ourLinkedInandwebsiteto learn more about us & don't hesitate to contact us if you have any questions. ## Related Videos - [Hacking Your Vacation: Using Data for Fun](https://www.wearedevelopers.com/videos/585-hacking-your-vacation-using-data-for-fun) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [User 1st! Technology 2nd! Stop building AI nobody uses - start delivering real business outcomes](https://www.wearedevelopers.com/videos/100337-user-1st-technology-2nd-stop-building-ai-nobody-uses-start-delivering-real-business-outcomes) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Valven Atlas: Engineering Intelligence That Delivers](https://www.wearedevelopers.com/videos/1660-valven-atlas-engineering-intelligence-that-delivers) - [Big Business, Big Barriers? Stress-Testing AI Initiatives.](https://www.wearedevelopers.com/videos/1022-big-business-big-barriers-stress-testing-ai-initiatives) ## Related Articles - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)