AI Product Manager

Role Overview

• Contribute to the AI product roadmap across HCM, TSCM & VCPM product lines, and own the delivery prioritised AI features and capabilities within.
• Identify and evaluate opportunities to embed AI and machine learning capabilities into existing OneOcean solutions, prioritising initiatives based on customer impact, technical feasibility and commercial value
• Collaborate with data science and engineering teams to translate complex AI/ML concepts into clear product requirements, user stories and acceptance criteria
• Engage directly with customers, end users and internal maritime domain experts to deeply understand workflows, pain points and opportunities where AI can drive measurable improvements
• Champion a data-driven approach to product development, defining key metrics and success criteria for AI features and continuously measuring outcomes against them
• Work with UX and design teams to ensure AI-powered features are intuitive, transparent and trusted by maritime professionals both on board and ashore
• Stay abreast of emerging trends in AI, large language models, predictive analytics and maritime technology, bringing outside-in thinking to the OneOcean product strategy
• Partner with commercial and go-to-market teams to articulate the value proposition of AI features, supporting pricing, positioning and customer communication
• Manage the AI product lifecycle from ideation and discovery through to delivery, launch and continuous improvement
• Ensure responsible and ethical AI practices are embedded in all product development, including data governance, model transparency, bias mitigation and regulatory compliance
• Contribute to cross-functional planning processes including quarterly roadmap reviews, sprint planning and stakeholder alignment sessions

Requirements

• Proven experience as a Product Manager with a strong track record of delivering AI/ML-powered products or features in a B2B SaaS or enterprise software environment
• Solid understanding of AI and machine learning concepts, including supervised and unsupervised learning, natural language processing, predictive analytics and large language models
• Ability to bridge the gap between technical data science teams and non-technical stakeholders, translating complex AI concepts into clear business language
• Strong product discovery and user research skills, with experience conducting customer interviews, synthesising insights and validating hypotheses
• Data-driven mindset with experience defining product KPIs, running experiments and making evidence-based prioritisation decisions
• Excellent communication and stakeholder management skills, with the ability to influence and align cross-functional teams
• Experience working within agile product development methodologies
• Comfortable working in a fast-paced, evolving environment with a willingness to operate across multiple product domains

Desirable

• Experience working in the maritime, shipping, logistics or related regulated industry
• Familiarity with maritime operations including crew management, planned maintenance systems, voyage planning or regulatory compliance workflows
• Hands-on experience with AI/ML tooling and platforms (e.g. Python, TensorFlow, cloud ML services such as AWS SageMaker or Azure ML)
• Experience with responsible AI frameworks, model governance and AI ethics in a commercial product context
• Track record of launching AI features that have driven measurable customer and business outcomes

Tech Stack

• AWS
• Azure
• Cloud
• Python
• Tensorflow