Product Marketing Manager, AI Governance (EMEA)

Overview

As Product Marketing Manager for Kong’s AI portfolio, you drive the GTM engine for AI offerings. You’ll own launches, campaigns, and content, coordinating with technical PMMs and demand/sales teams to translate complex AI tech into buyer-friendly narratives. You’ll shape launches and enablement, ensuring consistent messaging across AI products. This role blends strategy, execution, and cross-functional collaboration to accelerate pipeline and market impact. You’ll engage with key events and continuously optimize messaging based on field feedback.

Responsibilities

• Own launch execution across the AI portfolio and manage cross-functional launch processes
• Drive campaign strategy and content, translating technical differentiation into buyer-focused narratives
• Serve as the commercial interface between AI product marketing and downstream marketing and sales
• Support field and partner enablement with sales assets and competitive positioning
• Coordinate with event marketing for AI portfolio presence and messaging at flagship events
• Measure launch/campaign performance and iterate messaging/assets based on pipeline impact

Key requirements

• 2+ years of experience in product marketing, product management, or solutions engineering (preferably in AI/ML platform companies)
• Hands-on interest in AI infrastructure and familiarity with LLM deployment, agentic frameworks, and AI governance
• Ability to translate complex technical concepts into clear narratives for technical and C-suite audiences
• Track record of launching products, enabling sales, and delivering competitive intelligence that moves deals
• Highly collaborative with experience working across Product, Marketing, Sales, and Partners
• Comfort with stage presence: keynote talks, analyst briefings, customer roundtables, and demo-led sessions
• Experience in open-source software, SaaS platforms, and enterprise GTM motions is strongly preferred
• Familiarity with AI connectivity landscape (API gateways, AI observability, vector databases, iPaaS, agentic orchestration) is a plus

• collaboration
• storytelling
• stakeholder management
• AI governance
• LLM deployment
• agent frameworks

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