资深解决方案工程师 - 东北部
Staff Solutions Engineer - Northeast
你准备好解锁智能了吗？
如果你不认为自己完全符合以下所有要求，但仍对该职位感兴趣，请申请。没有人能完全满足所有条件——我们寻找的是在某些领域特别出色，并在其他领域有相关兴趣和能力的候选人。
职位简介：
你是否准备好成为API和AI连接革命的核心？作为Kong的资深解决方案工程师，你不仅仅是销售一个平台——你将成为值得信赖的技术顾问，帮助全球最具创新力的企业构建安全、可扩展的API生态系统，同时应对进入代理AI时代的挑战。Kong处于API管理和AI连接的交汇点，而你将是让这一故事为客户所理解的人。
你将负责：
- 支持现场销售团队，帮助客户理解Kong API和AI连接平台的价值。
- 进行需求发现对话，将客户需求映射到Kong解决方案，从初步产品评审到生产环境部署。
- 在整个评估过程中支持POC，负责技术验证和利益相关者对齐。
- 确保你负责的客户账户的满意度。
- 与支持、产品和工程团队协作，代表客户的需求。
- 创建针对DevOps、实施和服务项目的Technical Documentation。
- 领导和支援API管理与AI治理评估，包括定义API/AI用例、LLM流量管理及治理需求。
- 展示Kong的API与AI治理及代理连接能力，包括Model Context Protocol (MCP)治理、语义缓存、提示防护措施和影子AI检测。
- 组织以API与AI为主题的Technical Feasibility Workshops（TFWs），验证Kong在现代或AI/代理架构中的适用性。
- 从客户筛选到成交，主导复杂、多利益相关者的大型企业交易的技术策略。
- 指导和培训初级SE在技术技能、需求发现方法和交易策略方面的成长。
- 通过撰写技术博客、举办网络研讨会、在AWS re:Invent、Google Next、API与AI峰会以及地区性活动等行业会议和会议上发表演讲，推动思想领导力。
- 通过整合客户反馈和市场信号，为产品团队提供可操作的输入，影响产品方向。
- 其他相关任务
查看英文原文
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.
About the Role:
Are you ready to sit at the epicenter of the API and AI connectivity revolution? As a Staff Solutions Engineer at Kong, you won’t just be selling a platform — you’ll be a trusted technical advisor helping the world’s most innovative enterprises architect secure, scalable API ecosystems while navigating the transition into the agentic AI era. Kong sits at the intersection of API management and AI connectivity, and you’ll be the person who makes that story real for customers.
What You’ll Do:
- 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.
- Mentor and coach junior SEs on technical skills, discovery methods, and deal strategy.
- 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.
What You’ll Bring:
- 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.
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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 http://www.konghq.com.