Senior Product Manager II

Overview

In this AI-first Product Manager role, you will partner with internal teams to uncover high-value AI opportunities and deliver reusable solutions that boost productivity and decision quality. You’ll own an prioritized roadmap across domains, define success metrics, and iterate rapidly to maximize impact. Working in an agile, cross-functional setting, you’ll shape how AI-enabled workflows are built and scaled enterprise-wide. This is a chance to help LexisNexis empower employees to achieve superhuman outcomes through practical AI adoption.

Pay / Benefits

• Health benefits: comprehensive medical, dental, vision
• 401(k) with match and Employee Stock Purchase Plan
• Wellbeing programs and Headspace subscription
• Employee Assistance Program and time-off options
• Disability and life insurance, critical illness coverage
• Family benefits including bonding and parental/family care leaves

Responsibilities

• Partner with internal customer teams to understand workflows, pain points, and jobs to be done, translating them into clear product opportunities
• Create and manage a prioritized roadmap of high-impact use cases across domains, balancing speed, feasibility, risk, and reusability
• Define success metrics and reporting for each solution (adoption, satisfaction) and use data to iterate
• Lead end-to-end product delivery in an agile model, partnering daily with engineers and domain stakeholders
• Define AI-first product development across the Software Development Lifecycle with modern tools and workflows
• Scale impact by documenting patterns and artifacts, sharing learnings, and enabling enterprise-wide reuse

Key requirements

• 7+ years of product management delivering software in an agile environment
• Demonstrated ability to lead discovery, define crisp problems, and convert ambiguity into prioritized roadmaps and shipped outcomes
• Hands-on fluency with generative AI tools and staying current on AI product concepts
• Experience building or product-managing AI-enabled workflow tools, agents, and/or automation systems in an enterprise context
• Strong partnership mindset with engineering leaders and contributors, including comfort with pragmatic tradeoffs
• Experience defining metrics and using data to drive product decisions
• Demonstrated success delivering complex, multi-team initiatives at scale
• Ability to work across matrixed, cross-functional product and tech organizations with various seniority levels
• Strong discovery craft: framing problems, mapping workflows, quantifying impact, rapid stakeholder validation
• Enterprise collaboration and change-management skills

• collaboration across cross-functional teams
• clear communication with stakeholders at all levels
• change management and influencing without authority
• generative AI tools
• AI-enabled workflow tools, agents, and automation systems
• enterprise-scale product concepts and SDLC practices

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