Define and lead the AI roadmap for the PSM organization aligned to business priorities and HPE’s AI strategy
Identify high-impact use cases across messaging, content creation, campaign execution, competitive intelligence, and day to day product marketing activities
Prioritize and deliver AI-driven initiatives that improve productivity and business outcomes
Work with the HPE AI teams to ensure PSM alignment on priorities, tool integration, HPE compliance, and end to end workflow
Lead end-to-end AI programs, from ideation through implementation and scale
Establish governance, success metrics, and reporting for AI initiatives
Manage timelines, dependencies, and stakeholder alignment across multiple concurrent projects
Partner closely with Marketing Technology, IT, Data, and Security teams to evaluate, select, and deploy AI tools and platforms
Help define requirements and ensure tools integrate effectively into existing workflows
Stay current on emerging AI technologies (e.g., generative AI, copilots, agents) and assess their applicability
Design and help develop AI-powered agents and automated workflows to support Product Marketing functions
Collaborate with technical teams or vendors to build, test, and refine solutions
Ensure solutions are scalable, compliant, and aligned with business needs
Drive adoption of AI tools and processes across the PSM organization
Develop training programs, playbooks, and best practices
Engage with senior leadership to align AI initiatives with strategic priorities
Requirements
7–12+ years of experience in product marketing, program management, or related roles
Proven experience leading cross-functional programs or transformation initiatives
Strong understanding of AI/ML concepts, especially generative AI and workflow automation
Experience building or deploying AI agents, copilots, or automation workflows
Experience working with AI tools (e.g., LLM platforms, copilots, automation tools)
Demonstrated ability to influence senior stakeholders and drive alignment
Excellent communication, organizational, and problem-solving skills.
Background working with IT, data, or engineering teams on tool implementation (preferred)
Familiarity with prompt engineering, model evaluation, or AI governance (preferred)
Experience in B2B or enterprise technology environments (preferred)