Top Product Manager Jobs in Lexington, KY

Define strategy and roadmap for billing and payments platform capabilities. Lead discovery, prioritize backlogs, partner with engineering and stakeholders, track outcomes, and ensure scalable, reliable financial customer experiences.

Lead product strategy and lifecycle for Liquid Staking/Restaking products. Drive development, launch, and growth by collaborating with engineering, design, and marketing. Gather stakeholder and user feedback, perform competitive and market research, and prioritize data-driven product improvements to increase adoption and differentiation.

Own the end-to-end product strategy and lifecycle for AI research products, from model development and user research through launch, pricing, and go-to-market. Partner with research, engineering, design, and business teams to define requirements, ship products, analyze metrics, run experiments, and prioritize features. The role requires strong technical or quantitative foundations, product management experience, SQL and Python fluency, knowledge of machine learning, and experience taking products from zero to one.

Own the vision, roadmap, and outcomes for Revenue Cycle Management automation within CollaborateMD. Partner with design, engineering, and RCM users to develop AI-enabled solutions for claims submission, accounts receivable follow-up, payment posting, denials, and appeals. Translate requirements into user stories, define success metrics, and deliver scalable workflows that reduce manual billing work and improve reliability, adoption, and operational efficiency.

Manages the full life cycle of 3–4 telecommunications products, from concept and development through launch, enhancement, and retirement. Collaborates with engineering, sales, operations, procurement, legal, marketing, and vendors to define requirements, deliver connectivity solutions, support RFPs, train teams, and ensure regulatory and security compliance. Oversees product strategy, KPIs, pricing, technical documentation, enablement, launches, and customer-focused improvements across multiple markets.

Own the strategy, roadmap, and business outcomes for Nextiva’s mid-market customer experience products. Lead discovery, prioritize omnichannel and AI-powered capabilities, collaborate with Engineering, Design, Data Science, and go-to-market teams, and drive launches and adoption. Use customer insights, analytics, KPIs, and telemetry to guide investments while influencing executives and delivering measurable revenue and satisfaction outcomes.

Owns the pharmacy benefit product and partnership lifecycle from opportunity discovery through launch and optimization. Translates client needs into product opportunities, evaluates vendors, develops value propositions and business cases, coordinates cross-functional stakeholders, supports implementation, and monitors adoption and partnership performance. The role serves as the central accountability point for assigned products and programs while managing client, vendor, and internal relationships.

Develop and manage insurance and non-insurance product portfolios across ticketing, logistics, warranty, CFAR, income protection, and commercial lines. Responsibilities include product design, policy wording, underwriting coordination, pricing and regulatory analysis, portfolio reporting, partner management, financial modeling, and collaboration with pricing, partnerships, compliance, and development teams.

Lead product strategy and execution for care operations to build scalable, AI-enhanced workflows. Manage backlog, define requirements, run discovery and experiments, coordinate cross-functional teams, and use qualitative and quantitative insights to improve therapy access, reduce costs, and enhance clinician and family experience.

Own the strategy, roadmap, requirements, prototyping, and safe release of RapidAI’s mobile and web applications used by acute-care clinicians. Partner with clinicians, design, engineering, quality, regulatory, and clinical teams to improve care workflows, notification reliability, AI-assisted capabilities, and reusable product patterns. Define measurable outcomes, validate prototypes, write testable requirements, support risk and verification processes, and mentor product managers in AI-first practices.