Product Mgr II

Posted 10 Days Ago
Be an Early Applicant
2 Locations
In-Office
Entry level
Information Technology • Legal Tech • Analytics
The Role
Own AI-powered product capabilities from discovery through launch and adoption. Translate customer and business needs into requirements, prioritize backlogs, write user stories, define acceptance criteria, and collaborate with Engineering, Data Science, UX, and business teams. Support customer discovery, experimentation, testing, demonstrations, and continuous improvement while tracking product success metrics and promoting transparency, privacy, reliability, fairness, security, explainability, and customer trust.
Summary Generated by Built In

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.

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.

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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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Skills Required

  • 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 with Engineering, Data Science, and UX teams to translate customer needs into product requirements, write user stories, define acceptance criteria, and manage product backlogs

RELX Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.

  • Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
  • Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
  • Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.

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The Company
HQ: London
10,001 Employees
Year Founded: 1880

What We Do

RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.

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