Product Manager – Agentic Modernization

Kyndryl•Dallas, TX

16h•$143,640 - $327,600•Hybrid

About The Position

Kyndryl is looking for a Lead Product Manager to own the vision, strategy, roadmap, and lifecycle of Kyndryl's platform for Agentic Modernization — the platform that enables enterprises to modernize applications, processes, and operations through AI agents and agentic workflows. This role bridges customer needs, business objectives, and AI technology capabilities to deliver a secure, scalable, and enterprise-grade platform for building, deploying, governing, and operating AI agents at scale. This is a senior, cross-functional leadership role. You will set the strategic direction for the platform, act as the primary liaison between the platform team and extended teams (solution engineering, client and account teams, partners, and delivery), and be accountable for the outcomes the platform enables across the modernization portfolio.

Requirements

Proven experience (typically 8+ years) in product management, with a track record of owning platform or product strategy end to end.
Demonstrated experience defining vision, strategy, and roadmaps for enterprise software or AI/platform products.
Strong stakeholder management skills, with experience acting as a liaison across engineering, delivery, client/account teams, and partners.
Experience prioritizing and balancing competing requirements across multiple stakeholder groups.
Strong grounding in AI/agentic technology concepts, including: Agent orchestration, deployment, and governance; Responsible AI, security, and compliance practices.
Excellent communication and executive presentation skills, including the ability to translate technical capabilities into business value.
Experience owning backlogs, release planning, and lifecycle management in an agile environment.
Understands the technology and the rapidly evolving AI market: Knows what cloud providers, LLM providers, Broadcom, NVIDIA, and others are doing in the AI space; Can identify differentiated, scalable features the market needs; Can demonstrate the platform to cloud and LLM providers, internal executives, and clients; Can gather feedback, build and manage the roadmap, and work closely with Engineering to ensure delivery.

Nice To Haves

Experience with enterprise modernization initiatives spanning applications, cloud, mainframe, or network & edge domains.
Experience managing large, complex, multi-stakeholder platform programs at enterprise scale.
Background working with cross-functional AI, engineering, and consulting organizations.
Track record of driving platform adoption and measurable business outcomes.

Responsibilities

Define and execute the product vision, strategy, and roadmap for Kyndryl's Agentic Modernization platform.
Identify platform capabilities that accelerate the transformation of legacy business processes, applications, and workflows into AI-powered agentic experiences.
Gather and prioritize requirements from customers, developers, consultants, architects, delivery teams, and business stakeholders.
Collaborate with AI engineers, platform teams, UX designers, cloud architects, and modernization specialists to deliver platform capabilities and enhancements.
Own product backlogs, release planning, feature prioritization, and end-to-end lifecycle management.
Drive platform adoption by enabling the rapid creation, deployment, orchestration, monitoring, and governance of AI agents.
Establish and track success metrics, including modernization outcomes, platform adoption, agent deployment velocity, productivity gains, customer satisfaction, and business value realization.
Ensure enterprise-grade security, governance, compliance, and responsible AI practices are embedded throughout the platform lifecycle.
Serve as the primary liaison between the platform team and extended teams (solution engineering, client and account teams, partners, etc.), filtering and prioritizing incoming requests to the platform team.
Mentor and provide direction to junior product management resources supporting the platform.