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Senior Technical Product Marketing Manager, Agent Identity & Auth (EMEA)

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Remote from
EMEA
Salary
Undisclosed
Employment
Full Time
Experience
Senior
Published
Apply before
24 Nov 2026
Listing views
34
Application actions
3
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AI Summary

The role, at a glance.

Kong is seeking a senior technical product marketer to define its market narrative for AI agent identity, authentication, and authorization across EMEA. The role combines positioning, thought leadership, technical content creation, field enablement, strategic deal support, and product partnership. Success requires credible fluency in AI infrastructure, IAM, API security, agentic systems, and enterprise SaaS go-to-market motions. The hire will communicate complex security and platform concepts to architects, security teams, analysts, and executive buyers. This is a category-creation position with substantial influence on how Kong presents its AI connectivity platform.

Role DNA

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

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe position requires deep technical credibility in the rapidly evolving areas of AI agents, identity, authorization, and API infrastructure while also owning high-visibility market strategy. It demands independent category thinking and the ability to influence technical and executive audiences across multiple functions.

Salary analysis

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

Estimated job median (per year)Market rate
$165,000
US market range (per year)$140k–$195k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer compensation is disclosed. Estimated annual USD compensation for a senior technical product marketing manager with IAM, AI security, and enterprise SaaS expertise is approximately $140,000–$195,000, with a midpoint of $165,000; this is an AI-generated market estimate, not employer-provided pay.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you develop Kong's positioning for agent identity and authorization in a market that is still emerging?

I would begin with structured buyer, customer, and field research to identify the operational and security problems enterprises face when deploying autonomous agents. I would translate those findings into a differentiated point of view, clear messaging pillars, proof points, and use cases, then validate the narrative with solution engineers, customers, and analysts before scaling it through launches and content.

How do authentication and authorization challenges for AI agents differ from traditional application identity?

AI agents are non-human actors that can initiate actions, call tools, access data, and act across multiple systems with varying degrees of autonomy. Their identity model must support durable attribution, scoped permissions, delegated access, policy enforcement, auditability, and secure management of machine-to-machine credentials rather than relying solely on user-centric identity patterns.

Describe how you would create a technical asset for platform engineers evaluating Kong's approach to agent security.

I would build a realistic reference architecture and accompanying demo around a concrete workflow, such as an agent accessing approved APIs and tools under policy-controlled credentials. The asset would explain the threat model, identity lifecycle, authorization decisions, observability signals, and implementation steps, with concise documentation that enables a technical team to reproduce the scenario.

How would you enable sales and solution engineering teams to communicate a complex technical category consistently?

I would provide a structured enablement package including persona-specific messaging, discovery questions, objection handling, competitive guidance, demo scripts, architecture diagrams, and customer proof points. I would reinforce it through live sessions and feedback loops so field teams can apply the materials in active opportunities and identify gaps quickly.

How would you measure the effectiveness of technical product marketing for this category?

I would track a combination of leading and business metrics: asset adoption by the field, content engagement by target technical audiences, analyst and community resonance, qualified pipeline influence, strategic-deal involvement, win-loss insights, and changes in buyer understanding. Qualitative feedback from platform and security buyers would be especially important because category education is a core objective.

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.

Senior Technical Product Marketing Manager, Agent Identity & Auth (EMEA)

Location: EMEA

About the Role:

As enterprises move from AI experiments to production agentic systems, a new problem has emerged: agents are non-human actors that need identity, authentication, and authorization — and the traditional identity stack wasn’t built for them.

This role owns Kong’s story in one of the most important emerging categories in AI infrastructure. As Senior Technical PMM for Agent Identity & Auth, you’ll define how the market understands agent identity: how agents are authenticated, what they’re authorized to access, and how enterprises establish trust and accountability across autonomous systems.

This is a category-shaping role. You’ll build the narrative for a market that’s still being defined, with the opportunity to establish Kong as the definitive voice on non-human identity in agentic architectures.

What You’ll Do:

  • Own positioning and messaging for agent identity and auth — Define the technical narrative for how Kong authenticates, authorizes, and governs agents and other non-human actors across AI and API traffic.

  • Shape the category — Develop thought leadership that frames the agent identity problem for the market and establishes Kong’s point of view through blogs, talks, analyst conversations, and industry engagement.

  • Lead technical field enablement — Own enablement in this domain for Kong Solution Engineers, Customer Success Managers, and other technical field roles.

  • Produce deep technical content — Build demos, reference architectures, technical whitepapers, and documentation-adjacent content that helps architects and security teams evaluate and adopt Kong’s approach.

  • Support strategic deals — Serve as the subject-matter expert for sales conversations where agent identity and security are strategic decision criteria, particularly with security and platform engineering buyers.

  • Fuel launches and campaigns — Deliver technical positioning, proof points, and demo assets as structured inputs to the AI PMM’s launch and campaign motions.

  • Partner with product management — Inform roadmap framing and capability naming based on market feedback, competitive dynamics, and buyer research.

What You’ll Bring:

  • 5+ years of experience in product marketing, product management, or solutions engineering -ideally at an Identity and Access Management (IAM) and/or AI Security 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.

  • 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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