Product Manager – Agentic Modernization

Jobtailor

Dallas (TX)

On-site

USD 140,000 - 190,000

Full time

5 days ago

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Job summary

Kyndryl seeks a senior product leader to own the vision and strategy for its Agentic Modernization platform in the enterprise software space. You will drive end-to-end lifecycle, prioritize features, and coordinate across AI engineers, platform teams, and clients to deliver measurable business value.

The role requires steering platform adoption, ensuring governance and security, and mentoring junior managers.

Qualifications

8+ years in product management with end-to-end ownership of platform or product strategy.
Experience defining vision, strategy, and roadmaps for enterprise software or AI/platform products.
Strong stakeholder management across engineering, delivery, client/account teams, and partners.
Experience prioritizing competing requirements across multiple stakeholder groups.
Knowledge of AI/agentic technology concepts, including agent orchestration, deployment, and governance.
Knowledge of responsible AI, security, and compliance practices.
Excellent communication and executive presentation skills.
Experience owning backlogs, release planning, and lifecycle management in an agile environment.
Understanding of cloud providers, LLM providers, Broadcom, NVIDIA, and the AI market.
Ability to identify differentiated, scalable market features.
Ability to demonstrate platforms to cloud and LLM providers, executives, and clients.
Experience with enterprise modernization initiatives spanning applications, cloud, mainframe, or network and edge domains preferred.
Experience managing complex, multi-stakeholder platform programs at enterprise scale preferred.
Background working with cross-functional AI, engineering, and consulting organizations preferred.
Track record of driving platform adoption and measurable business outcomes preferred.
Minimum 25% travel required

Responsibilities

Own the vision, strategy, roadmap, and lifecycle of the platform.
Define platform capabilities that transform legacy processes into AI-powered 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.
Own backlogs, release planning, feature prioritization, and end-to-end lifecycle management.
Drive platform adoption through rapid creation, deployment, orchestration, monitoring, and governance of AI agents.
Establish and track modernization, adoption, deployment velocity, productivity, customer satisfaction, and business value metrics.
Embed enterprise-grade security, governance, compliance, and responsible AI practices throughout the platform lifecycle.
Liaise between the platform team and solution engineering, client/account teams, partners, and delivery teams.
Mentor and provide direction to junior product management resources.
Support client engagements, partner meetings, and cross-team collaboration through at least 25% travel

Skills

Product Management

AI/Agentic Technology

Stakeholder Management

Agile Lifecycle Management

Enterprise Modernization

Tools

Cloud Providers

LLM Providers

Broadcom

NVIDIA

Job description

Responsibilities

Own the vision, strategy, roadmap, and lifecycle of Kyndryl's Agentic Modernization platform
Define platform capabilities that transform 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
Own product backlogs, release planning, feature prioritization, and end-to-end lifecycle management
Drive platform adoption through rapid creation, deployment, orchestration, monitoring, and governance of AI agents
Establish and track modernization, adoption, deployment velocity, productivity, customer satisfaction, and business value metrics
Embed enterprise-grade security, governance, compliance, and responsible AI practices throughout the platform lifecycle
Liaise between the platform team and solution engineering, client/account teams, partners, and delivery teams
Mentor and provide direction to junior product management resources
Support client engagements, partner meetings, and cross-team collaboration through at least 25% travel

Requirements

Proven experience, typically 8+ years, in product management with end-to-end ownership of platform or product strategy
Experience defining vision, strategy, and roadmaps for enterprise software or AI/platform products
Strong stakeholder management across engineering, delivery, client/account teams, and partners
Experience prioritizing competing requirements across multiple stakeholder groups
Knowledge of AI/agentic technology concepts, including agent orchestration, deployment, and governance
Knowledge of responsible AI, security, and compliance practices
Excellent communication and executive presentation skills
Experience owning backlogs, release planning, and lifecycle management in an agile environment
Understanding of cloud providers, LLM providers, Broadcom, NVIDIA, and the AI market
Ability to identify differentiated, scalable market features
Ability to demonstrate platforms to cloud and LLM providers, executives, and clients
Experience with enterprise modernization initiatives spanning applications, cloud, mainframe, or network and edge domains preferred
Experience managing complex, multi-stakeholder platform programs at enterprise scale preferred
Background working with cross-functional AI, engineering, and consulting organizations preferred
Track record of driving platform adoption and measurable business outcomes preferred
Minimum 25% travel required

Core Competencies

Demonstrates expertise in product management with a focus on AI-powered platform strategy, lifecycle management, and stakeholder collaboration. Proven ability to drive platform adoption and measure business outcomes while ensuring compliance and security throughout the development process.

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