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Product Marketing Manager, AI Governance (EMEA)

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Remote from
EMEA
Salary
Undisclosed
Employment
Full Time
Experience
Open level
Published
Apply before
24 Nov 2026
Listing views
17
Application actions
0
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AI Summary

The role, at a glance.

Kong is seeking a Product Marketing Manager to drive go-to-market execution for its AI governance and connectivity portfolio across EMEA. The role owns launch planning, campaign briefs, technical-to-commercial messaging, content development, field enablement, and event presence. It acts as the central interface between AI R&D, product marketing specialists, demand generation, field marketing, partners, and sales. Success depends on translating AI infrastructure topics such as LLM deployment, MCP, agent identity, observability, and API governance into buyer-relevant narratives that generate pipeline. This is a collaborative, externally visible role with meaningful ownership of launch performance and messaging iteration.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe position requires credible fluency in a rapidly evolving AI infrastructure market while coordinating multiple commercial teams and launch workstreams. It also demands strong executive communication and the ability to turn complex technical capabilities into measurable pipeline outcomes.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$115,000
US market range (per year)$90k–$145k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer compensation is disclosed. The yearly cadence and USD market estimate are inferred for a full-time product marketing manager role in AI infrastructure; this is an AI estimate rather than employer-provided pay.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you develop a go-to-market plan for a new AI governance capability?

I would begin by validating the target segments, buyer problems, competitive context, and technical differentiation with product, engineering, sales, and customers. I would then define positioning, messaging pillars, launch tier, target channels, enablement needs, success metrics, and a post-launch feedback loop tied to pipeline and adoption.

How do you explain a complex AI infrastructure feature to both platform engineers and executive buyers?

I retain technical accuracy for practitioners by clearly describing the architecture, workflows, and integration value. For executives, I translate those capabilities into outcomes such as reduced risk, governance, faster AI delivery, cost control, and operational visibility, adapting the proof points and language for each audience.

Describe how you would measure the success of a product launch.

I would use a combination of leading and lagging indicators: asset engagement, webinar or event participation, sales enablement adoption, qualified pipeline, opportunity influence, win-rate feedback, and product adoption where available. I would review qualitative field feedback alongside the data to identify messaging gaps and optimize quickly.

What is your approach to creating sales enablement for a rapidly evolving technical market?

I would prioritize concise, modular assets such as value narratives, discovery questions, competitive battlecards, talk tracks, demo stories, and objection handling. I would validate them with pilot sellers, incorporate customer language and deal feedback, and maintain a clear update cadence as the product and market evolve.

How would you work with demand generation and field marketing to turn AI positioning into pipeline?

I would provide a focused campaign brief that identifies the audience, core problem, differentiated promise, proof, call to action, and required content. Together, we would build integrated programs across digital, field, partner, and event channels, then evaluate results by segment and iterate the narrative and assets based on conversion and sales feedback.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

Are you ready to unlock intelligence?

If you don’t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box – we’re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.

Product Marketing Manager, AI Governance (EMEA)

Location: EMEA

About the Role:

Kong is building the connectivity layer for the AI era — securing, governing, and monetizing every LLM, MCP, agent, and API request in production.

As the Product Marketing Manager for our AI portfolio, you’ll be the commercial engine behind the fastest-moving part of our business. Working alongside a team of deeply technical product marketers who own positioning for AI traffic management, agent identity, and AI observability, you’ll plan the launches, campaigns, and content that drive pipeline.

This is a high-leverage execution role. You’ll own launches, content, and campaign execution across the entire AI portfolio, serving as the single interface between AI R&D and the demand generation, field marketing, and sales teams that bring our story to market.

What You’ll Do:

  • 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.

What You’ll Bring:

  • 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.

#LI-NS1

About Kong:

Kong Inc., the AI Connectivity Company, is building the connectivity layer of AI. Trusted by the Fortune 500® and AI-native startups alike, Kong’s unified API and AI platform enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI traffic — on any model, any cloud. For more information, visit www.konghq.com.

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