Job description

Murex is a global fintech leader in trading, risk management and processing solutions for capital markets.

Operating from our 19 offices, 3 400 Murexians from over 65 different nationalities ensure the development, implementation and support of our platform which is used by banks, asset managers, corporations and utilities, across the world. 

Join Murex and work on the challenges of an industry at the forefront of innovation and thrive in a people-centric environment. You’ll be part of one global team where you can learn fast and stay true to yourself.

Your Mission

IS-PM is a team of product managers developing and serving products for the internal Murex departments and for Murex clients. In the IS-PM team, a Senior Product Manager for AI Products leads the vision, innovation, evolution and lifecycle of AI-powered products and capabilities.

Either for an area of the MX.3 platform or for a Business Solution supported by this platform, you will identify where Artificial Intelligence, Machine Learning and Generative AI can create measurable business and user value, translate these opportunities into a coherent product strategy and roadmap, and lead their execution.

You will contribute to all core activities of the department, from product discovery and AI use-case qualification to roadmap execution, business analysis, requirements and specifications writing, development validation, AI evaluation, testing, packaging, adoption, monitoring and second-level support.

As a Senior Product Manager, you will ensure that AI-powered solutions are not only technically feasible, but also valuable, reliable, scalable, secure and aligned with responsible AI principles.

Your Responsibilities

You will act as IS Senior Product Manager for AI Products across one or several of the covered domains: Customer Relationship Management, Application Lifecycle Management, Configuration Environment Management, Enterprise Resource Planning, Financial Planning and Control, Data & Analytics.

The main activities to be performed:

• Responsible for defining and evolving the vision and strategy of AI-powered products and capabilities, identifying business and user problems where AI can generate measurable value, and translating this vision into a clear and prioritized product roadmap
• Responsible for the execution of the AI product roadmap, from discovery and use-case qualification to business analysis, requirements elicitation, design, development lifecycle, AI evaluation, packaging, rollout and continuous improvement
• Responsible for defining the success criteria and evaluation framework of AI-powered products, combining traditional product KPIs such as adoption, satisfaction and business impact with AI-specific measures such as accuracy, output quality, reliability, latency, cost, robustness and user feedback
• Responsible for understanding and managing the specific risks and limitations associated with AI products, including hallucinations, bias, data quality, explainability, privacy, security, inappropriate outputs and model or performance degradation
• Drive responsible AI practices throughout the product lifecycle, collaborating with the relevant security, legal, compliance, architecture and governance stakeholders to ensure appropriate controls, transparency and human oversight
• Contribute to decisions related to AI solution approaches, including build-versus-buy decisions, AI model or provider selection, Retrieval-Augmented Generation (RAG), AI agents and other relevant AI architectures, balancing quality, cost, latency, security, scalability and maintainability
• Contribute to experimentation and validation strategies for AI products, including prototypes, POCs, pilots and controlled rollouts, defining clear evaluation criteria and using quantitative and qualitative evidence to determine readiness for broader adoption
• Lead the product lifecycle from POC, Pilot, Limited Availability to General Availability, ensuring that AI-specific readiness criteria, evaluation results, operational monitoring, user feedback and risks are considered at each stage
• Responsible for establishing an atmosphere of cohesiveness and focused collaboration between all parties involved in driving AI products forward
• Responsible for making available the information related to different aspects of the AI product, including product capabilities and limitations, configuration, technical principles at the appropriate level of detail, target users, maturity levels, roadmaps, release notes, documentation, training and supporting material
• Responsible for respecting and contributing to consistency and integrity in product management activities, while promoting reusable AI capabilities, common product patterns and good AI product practices where applicable
• Regularly monitor developments in AI, Machine Learning and Generative AI technologies and assess their relevance, maturity and potential impact on IS products and business processes
• Engage with internal stakeholders and, where relevant, clients to understand emerging needs, validate AI product opportunities, demonstrate AI-powered capabilities and collect feedback that guides future product evolution
• Responsible for contributing to the publication of product roadmaps and release notes based on platform-wide corporate guidelines

Your Profile

• 4+ years of experience in Information Systems, software products, Data or AI-related environments, with demonstrated experience in Product Management. Experience delivering AI/ML-enabled products is a strong plus
• Demonstrated ability to own and drive a product or significant product area from problem discovery and strategy through delivery, adoption and continuous improvement
• Good understanding of Artificial Intelligence and Machine Learning concepts, with a strong understanding of Generative AI and Large Language Models. Familiarity with concepts such as prompting, Retrieval-Augmented Generation (RAG), AI agents, embeddings, fine-tuning and model evaluation is highly valued
• Ability to translate complex business problems into AI product opportunities and determine when AI is, or is not, the appropriate solution
• Ability to work effectively with software developers, data scientists and AI/ML specialists, understanding enough of the underlying technologies, architectures and constraints to challenge assumptions, make product trade-offs and drive decisions without being expected to develop AI models
• Experience defining product KPIs and using data, experimentation and user feedback to drive product decisions. Understanding of AI evaluation techniques and the challenges associated with measuring non-deterministic AI systems is a strong plus
• Proven experience working in project mode with strong respect for deadlines, while interacting with business stakeholders and sponsors, with a strong drive for results in a cross-functional environment
• Mastering the key Product Management skills of carefully listening to people, properly understanding their problems and needs, defining a compelling product vision, prioritizing opportunities, and effectively driving teams towards the execution of solutions that provide measurable value
• Strong stakeholder management and leadership skills, with the ability to align technical and business stakeholders, influence decisions and create commitment around a common AI product vision
• Excellent communication skills with a strong drive for Client Orientation, including the ability to communicate complex AI concepts, capabilities, limitations and product decisions to technical and non-technical audiences
• Very good understanding of the technical world, with a proper grasp of data models, APIs, data flows and system integrations. Strong awareness of data quality, governance and security considerations for AI products
• Good knowledge of Agile and Scrum methodology, experience with SAFe is a plus
• Good attention to detail and a well-organized, structured approach to work, combined with strong analytical thinking, curiosity and comfort working with uncertainty
• Ability to speak and write English fluently, French is a plus