Sr Product Mgr II EST & CST Preferred

LexisNexis Reed Tech•Philadelphia, PA

4d•Hybrid

About The Position

The Sr. Product Manager will typically own one or more product features and lead project execution. The role owns product development plans and represents assigned features within cross-functional teams, proposing features that address customer needs based on deep, firsthand customer understanding. The product manager prioritizes and communicates production customer issues and defects using relevant data and leads demonstrations for key stakeholders at program milestones. The role focuses on creating AI-enabled products and capabilities for complex professional workflows. It includes end-to-end product lifecycle ownership, from discovery and planning through release, adoption, and post-release learning, as well as developing product vision and roadmaps aligned with business strategy. The position also involves defining requirements and success measures for AI-enabled features, coordinating go-to-market plans, tracking outcomes and budgets, and mentoring team members. LexisNexis Intellectual Property delivers patent search, data, and analytics solutions for corporations, law firms, and government agencies. The Reed Tech team operates the data and technology foundation behind these solutions, managing a large patent dataset and working to improve search quality, relevance, usability, and AI-driven capabilities.

Requirements

A degree in a technical field or demonstrated technical acumen and experience.
Experience building or managing AI-enabled, data-intensive, search, or other complex enterprise products, or comparable experience applying AI or ML capabilities to customer workflows.
Sound product judgment for AI-enabled products, including framing valuable use cases, partnering effectively with technical teams, evaluating output quality, and accounting for user trust, explainability, and risk.
Strong problem-solving skills and ability to take a lead in collaborating to resolve issues.
Ability to interact professionally and effectively with internal and external customers.
Experience mentoring or training others and acting as a subject matter expert to guide colleagues.
Excellent verbal and written communication skills and ability to build relationships with customers and stakeholders.
Analytical thinking and excellent organizational skills when managing multiple priorities.
Product development knowledge, including developing related business cases, content, and product plans.
Significant Product Management experience, from collaborative conceptualization through post-release management.
Successful completion of a background investigation and achievement of Public Trust security clearance.

Nice To Haves

Preference for candidates located near the Horsham, PA office for a hybrid onsite schedule.

Responsibilities

Gather, evaluate, and understand customer use cases, including opportunities for AI, data, and search to improve high-stakes professional workflows.
Create and deliver innovative AI-enabled product features and capabilities that solve customer problems and earn customer trust.
Define product requirements, success metrics, and evaluation approaches for AI-enabled capabilities, collaborating with engineering, data, design, and customer-facing teams to assess quality, reliability, explainability, and adoption.
Lead and mentor team members, contributing to peer development and recruitment.
Identify and use metrics and data to track progress against customer needs, product outcomes, and project budgets.
Develop go-to-market launch plans in coordination with external, customer-facing teams.
Drive end-to-end product lifecycle components, from discovery and planning through release, adoption, and post-release learning.
Develop product vision and roadmap plans aligned with business strategy, including reusable platform opportunities, and communicate them to key stakeholders.
Own product development plans and represent assigned features within cross-functional teams.
Prioritize and communicate production customer issues and defects using relevant data for timely resolution.
Lead demonstrations to key stakeholders at program milestones.