Product Mgr II

RELX; Paris; On-site; EUR 75,000 - 110,000; Full time

Job summary

LexisNexis Risk Solutions in Paris seeks a Product Manager to own AI-powered product capabilities from discovery to launch and adoption. You will translate customer needs and business goals into actionable requirements, collaborating with Engineering, Data Science, and UX to deliver measurable value.

You will define backlogs, write user stories with clear acceptance criteria, and drive delivery across cross-functional teams in an agile environment, ensuring transparency and continuous

Qualifications

• PM/PO or related product delivery experience.
• Experience owning product features or customer-facing software products.
• Experience with Engineering and cross-functional teams in agile delivery environments.
• Strong analytical skills and ability to prioritize competing requirements.
• Experience delivering AI-powered products, incl. ML, Generative AI, or related tech.
• Experience with Agile ownership, backlog management, sprint planning, and product discovery.
• Understanding of AI/ML/LLMs and modern software development practices.
• Ability to collaborate with Engineering, Data Science, and UX to translate customer needs into product requirements.

Responsibilities

• Define, refine, and prioritize requirements for AI-powered product capabilities and workflows.
• Partner with Engineering and Data Science to evaluate and operationalize AI/ML/Generative AI solutions.
• Manage product backlogs, write user stories, define acceptance criteria, ensure delivery aligns with objectives.
• Participate in discovery activities including customer interviews, prototype validation, experimentation, and solution evaluation.
• Establish and track success metrics to measure adoption, effectiveness, and customer value.
• Support testing, validation, and continuous improvement of AI-driven capabilities with customer feedback.

Skills

Product management

Product ownership

Agile delivery

Data analytics

AI-powered products

Machine Learning

Generative AI

Backlog management

User stories

Acceptance criteria

Cross-functional collaboration

UX collaboration

Job description

Do you enjoy turning customer needs and product strategy into AI-powered solutions that deliver measurable value?

Would you like to collaborate across Engineering, Data Science, UX, and business teams to bring innovative products from discovery through launch and adoption?

About the Business

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/

About the Role

As a Product Manager, you will own one or more product capabilities and drive the execution and delivery of AI-powered products and features. You will translate customer needs, business objectives, and product strategy into actionable requirements, working with cross-functional teams to deliver measurable customer and commercial value from discovery through launch and adoption.

Responsibilities

• Define, refine, and prioritize requirements for AI-powered product capabilities and workflows.
• Partner closely with Engineering and Data Science teams to evaluate, operationalize, and enhance AI, Machine Learning, and Generative AI solutions.
• Manage product backlogs, write user stories, define acceptance criteria, and ensure delivery aligns with customer and business objectives.
• Participate in discovery activities including customer interviews, prototype validation, experimentation, and solution evaluation.
• Establish and track success metrics to measure product adoption, effectiveness, quality, and customer value.
• Support testing, validation, and continuous improvement of AI-driven capabilities using customer feedback and quantitative insights.
• Lead demonstrations and reviews with stakeholders at key program milestones.
• Support the development of AI-powered products in accordance with principles of transparency, privacy, reliability, fairness, and security, and contribute to monitoring frameworks that measure AI quality, performance, explainability, and customer trust.

Requirements

• Product Management, Product Owner, or related product delivery experience.
• Experience owning product features, capabilities, or customer-facing software products.
• Experience working closely with Engineering and cross-functional teams in agile delivery environments.
• Strong analytical skills and ability to prioritize competing customer, business, and technical requirements.
• Experience delivering AI-powered products or capabilities, including Machine Learning, Generative AI, intelligent automation, conversational AI, or related technologies.
• Experience with Agile product ownership, backlog management, sprint planning, and product discovery practices.
• Understanding of AI, Machine Learning, Generative AI, LLMs, intelligent automation, and modern software development practices.
• Ability to collaborate effectively with Engineering, Data Science, and UX teams to translate customer needs into product requirements, write user stories, define acceptance criteria, and manage product backlogs.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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