kong - Product Marketing Manager, AI Governance (EMEA)
Requirements
• 2+ years of experience in product marketing, product management, or solutions engineering — ideally at an AI/ML platform company. • A genuine, hands-on interest in AI infrastructure. You follow developments in LLM deployment, agentic frameworks, the Model Context Protocol, and AI governance, and can speak credibly to AI platform engineers without bluffing. • A proven ability to translate complex technical concepts into crisp narratives that land with both technical practitioners and C-suite buyers. • A track record of developing product launches, sales enablement materials, and competitive intelligence programs that move pipeline and accelerate deals. • Highly collaborative — you thrive working across Product, Marketing, Sales, and Partner teams. • Comfortable owning a stage: keynote presentations, analyst briefings, customer roundtables, and demo-heavy sessions energize you rather than intimidate you. • Experience in open-source software, SaaS platforms, and enterprise go-to-market motions is strongly preferred. • Familiarity with the AI connectivity landscape — including awareness of competing and complementary vendors across API gateways, AI observability, vector databases, iPaaS, and agentic orchestration frameworks — is a strong plus.
Responsibilities
• Own launch execution across the AI portfolio — Manage the launch calendar, tiering framework, and cross-functional launch process for all AI product releases, coordinating inputs from technical PMM specialists into cohesive go-to-market moments. • Drive campaign strategy and content — Partner with demand generation and field marketing to build campaign briefs, messaging frameworks, and content assets (web copy, ebooks, webinars, videos) that translate technical differentiation into buyer-relevant narratives. • Serve as the commercial interface layer — Act as the single point of contact between the AI product marketing team and downstream marketing and sales functions, ensuring consistent messaging across every AI offering. • Support field and partner enablement — Collaborate with the revenue enablement team to deliver launch-aligned sales assets, talk tracks, and competitive positioning for the AI portfolio. • Coordinate with event marketing — Drive AI portfolio presence at flagship events, including product announcements, session content, and booth messaging. • Measure and iterate — Track launch and campaign performance, gather field feedback, and continuously refine messaging and asset strategy based on what moves pipeline.
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