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.
Responsibilities
•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.
Requirements
•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.
Nice to Have
•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.
Conditions
No conditions stated in the posting.
