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About the Role
As a Staff Solutions Engineer at Kong, you will be a trusted technical advisor helping enterprises architect secure, scalable API ecosystems and navigate the transition into the agentic AI era. You will be instrumental in showcasing Kong's position at the intersection of API management and AI connectivity.
Responsibilities
- Support field sales in helping customers understand the value of the Kong API and AI connectivity platform.
- Conduct discovery conversations to understand customer requirements and map them to Kong solutions.
- Support POCs throughout the entire evaluation process, owning technical validation and stakeholder alignment.
- Ensure customer satisfaction across your assigned set of accounts.
- Collaborate with support, product, and engineering teams to advocate for customer needs.
- Create technical documentation for DevOps, implementations, and services engagements.
- Lead and support API Management and AI Goverance evaluations, including scoping API/AI use cases, LLM traffic management, and governance requirements.
- Deliver demonstrations of Kong’s API & AI governance and agentic connectivity capabilities.
- Run API & AI-focused Technical Feasibility Workshops (TFWs) to validate Kong’s fit for modern and/or AI/agentic architectures.
- Own the technical strategy for complex, multi-stakeholder enterprise deals from qualification through close.
- Mentor and coach junior SEs on technical skills, discovery methods, and deal strategy.
- Drive thought leadership by authoring technical blogs, hosting webinars, and speaking at industry events.
- Influence product direction by synthesizing customer feedback and market signals into actionable input for the product team.
- Perform additional tasks as required by management.
Requirements
- 7+ years of software engineering and/or solutions engineering experience at a SaaS, open source, or enterprise software company.
- Proven track record owning complex, enterprise-level deals with multiple technical and executive stakeholders.
- Experience mentoring or coaching other SEs or technical team members.
- Experience with Docker, Kubernetes, and cloud-native platforms.
- Experience with REST and GraphQL APIs, CI/CD pipelines, and API security patterns (OAuth2, OIDC, mTLS).
- Hands-on experience with AI-assisted development tooling — Claude Code, GitHub Copilot, OpenAI Codex, or equivalent is required.
- Working knowledge of AI/LLM architectures, including model routing, rate limiting, semantic caching, and prompt governance.
- Familiarity with Model Context Protocol (MCP) and agentic AI patterns.
- Solid understanding of cloud computing trends and open source business models.
- Strong listener and communicator — capable of leading discussions with engineers, architects, and executives.
- Enthusiasm for working in a high-profile, fast-paced environment at the intersection of API and AI connectivity.
Skills
- API Management
- AI Connectivity
- Technical Advisory
- API Ecosystem Architecture
- Agentic AI
- Docker
- Kubernetes
- Cloud-Native Platforms
- REST APIs
- GraphQL APIs
- CI/CD Pipelines
- API Security Patterns (OAuth2, OIDC, mTLS)
- AI-Assisted Development Tooling (Claude Code, GitHub Copilot, OpenAI Codex)
- AI/LLM Architectures
- Model Routing
- Rate Limiting
- Semantic Caching
- Prompt Governance
- Model Context Protocol (MCP)
- Agentic AI Patterns
- Cloud Computing Trends
- Open Source Business Models
- Communication
- Technical Documentation
- Thought Leadership
- Product Feedback Synthesis
Experience Level
- 7+ years of experience
About the Company
- 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.