kong - Staff Solutions Engineer
Requirements
• Drive thought leadership by authoring technical blogs, hosting webinars, speaking at industry events and conferences such as AWS re:Invent, Google Next, API & AI summit, and regional events • Influence product direction by synthesizing customer feedback and market signals into actionable input for the product team. • And any additional tasks required by manager. • 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 — you can confidently lead discussions with engineers, architects, and executives. • Enthusiasm for working in a high-profile, fast-paced environment at the intersection of API 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, from initial product reviews through to production. • 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, including Model Context Protocol (MCP) governance, semantic caching, prompt guardrails, and shadow AI detection. • 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.
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