AI Product Owner

Visium combines strategy, frontier AI, and deep regulated-industry expertise to build and deploy AI-native systems that reinvent how businesses operate - unlocking the value of AI at scale.

We're not a strategy firm that ships slide decks and walks away. Not a tech consultancy that builds what won't get adopted. Not a product company chasing problems it doesn't understand. We're all three at once: strategy, deep technical and integration expertise, and product, working as one. That combination is our flywheel. Consulting keeps us close to the hardest real-world problems. Products let us solve them at scale. Every engagement sharpens our products; every deployment makes the next engagement faster, deeper, and more certain.

We're obsessed with outcomes. While 95% of enterprise AI pilots never reach production, Visium is built to be the 5% delivering productised AI that compounds in value, not point solutions that deliver marginal gains. We are AI-native, not AI-adjacent. We don't bolt AI onto broken workflows; we redesign them with AI at the core.

Role

As 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 priorities 
• Translate business needs into structured product and project requirements 
• Challenge and validate technical decisions to ensure feasibility, scalability, and business impact 
• Protect engineering teams from ad-hoc requests and scope creep, maintaining focus and delivery velocity 
• Own 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 solutions 
• Facilitate communication across cross-functional teams, including IT, Business and external stakeholders 
• Identify risks early and proactively manage dependencies and trade-offs 
• Ensure continuous alignment between product vision and execution 

Who you are

• Technically fluent: Solid AI & data foundation; can challenge engineering decisions constructively
• Strategic: Connects technical work to business goals and long-term value
• Organized: Brings structure to ambiguity and ensures consistent execution
• Communicator: Bridges technical and non-technical audiences with confidence
• Pragmatic: Balances perfection with progress to keep teams moving

Requirements

1. Stakeholder & Communication
• Manages senior stakeholders, facilitates discussions, resolves conflicts
• Influences without authority; communicates clearly up to executive level
2. 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
3. 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
4. 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
5. 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 

What we offer

• A competitive compensation package
• A yearly education budget to steep your learning curve
• A yearly sport budget because a fit body leads to a fit mind
• A flexible working culture because your work-life balance matters to us
• A 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 mindset

Check our LinkedIn and website to learn more about us & don’t hesitate to contact us if you have any questions.