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
The IS-PM is a team of product managers developing and serving products for the internal Murex departments and for Murex clients. A Product Manager for AI Products in the IS-PM team contributes to the definition, development, adoption and continuous improvement of AI-powered products and features.
The role contributes to all core activities of the department, from identifying business problems and AI opportunities to product discovery, roadmap execution, business analysis, specifications writing, development validation, testing and evaluation, packaging and second-level support.
Working at the intersection of business, product and technology, the Product Manager contributes to transforming business needs into valuable AI-enabled solutions while considering AI capabilities and limitations, data availability and quality, user experience, security, responsible AI and measurable business outcomes.
Your Responsibilities
You will act as 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 Accounting and Control, Data & Analytics.
In order to effectively play this role, you need to:
- Contribute to the AI product roadmap execution, including business analysis, identification and qualification of AI use cases, specifications/documentation writing, testing and evaluation cycles, training and packaging related to the covered area
- Work closely with users and business stakeholders to understand their challenges and identify where AI, including Machine Learning and Generative AI, can create measurable value, while distinguishing between problems requiring AI and those better addressed through traditional solutions
- Translate business and user needs into clear AI product requirements, working closely with software development, data and AI/ML teams to evaluate technical feasibility, data requirements, expected behavior and product constraints
- Contribute to the definition of success criteria and evaluation approaches for AI-powered features, considering both business and user outcomes and AI-specific aspects such as output quality, accuracy, reliability, latency and user feedback
- Participate in the corrective and evolutive maintenance of AI products and features, incorporating user feedback, product usage and AI performance into continuous product improvement
- Understand and communicate the capabilities and limitations of AI solutions, including considerations related to data quality, explainability, hallucinations, bias, security, privacy and responsible AI
- Contribute to the validation of AI-powered features before release, including relevant test scenarios, expected outcomes, edge cases and fallback behavior
- With senior supervision, contribute to prototypes, proofs of concept and demos, and present AI-powered features and enhancements to internal stakeholders, prospects or existing customers
- Acquire strong business knowledge in the relevant domain you will join in order to identify valuable AI opportunities and propose product features that solve the right problems for users
- Stay aware of developments in AI technologies, particularly Generative AI, Large Language Models and Machine Learning, and assess their potential application to relevant business and product use cases
- Contribute to responsible AI practices throughout the product lifecycle, working with the relevant technical, security, legal and governance stakeholders when needed
- Support internal counterparts through product documentation, knowledge sharing, training and second-level support
You will also act as Business Analyst in an agile team in the SAFe context.
Your Profile
- 0 to 5 years of experience in Information Systems, software products, Data or AI-related environments. Experience in Product Management is a strong plus
- Good understanding of Artificial Intelligence and Machine Learning concepts, including Generative AI and Large Language Models. Familiarity with concepts such as prompting, Retrieval-Augmented Generation (RAG), AI agents and model evaluation is a plus
- Strong interest in AI technologies and their practical application to business and user problems, with the ability to understand both their potential and their limitations
- Proven experience working in project mode with strong respect for deadlines, while interacting with business stakeholders, technical teams 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, identifying where AI can provide meaningful value, and effectively driving towards the execution of solutions
- Strong analytical mindset and ability to define measurable product outcomes and use data, user feedback and experimentation to support product decisions
- Excellent communication skills with a strong drive for Client Orientation, and the ability to explain AI-powered solutions, their benefits and their limitations to both technical and non-technical audiences
- Very good understanding of the technical world, with a proper grasp of data models, APIs and data flows. Understanding of data quality and its importance for AI products is a strong plus
- Awareness of responsible AI principles and AI-related risks, including privacy, security, bias, explainability and appropriate human oversight
- 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 curiosity and the ability to work with the uncertainty inherent in AI products
- Ability to speak and write English fluently, French is a plus
