Product Mgr II
RELX is hiring a Product Mgr II. Level rates it ; you can apply on RELX.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include AI automation, product management and artificial intelligence.
- Level classifies it as a mid-level role.
- Level lists 798 other open roles at RELX.
- The role was posted in the last few days.
AI in this role
Product manager driving the discovery, execution, and delivery of AI-powered risk solutions and machine learning capabilities.
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. Click here to access benefits specific to your location.
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How we rate this
Product Mgr II at RELX rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a workflow you automated with AI tools, end to end.
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where artificial intelligence was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where generative ai was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Automation, Product Management, Artificial Intelligence, Machine learning, and Generative AI. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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