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engineering

Posted 2 hours ago

Staff Solutions Engineer

at Konghq

Singapore, SingaporeOn-site

Responsibilities

  • - Collaborate with support, product, and engineering teams to advocate for customer needs.
  • - Create technical documentation for DevOps, implementations, and services engagements.
  • - Own the technical strategy for complex, multi-stakeholder enterprise deals from qualification through close.

Requirements

  • 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 Be Doing - Support field sales in helping customers understand the value of the Kong API and AI connectivity platform. - Conduct discovery conversations to understand customer
  • - 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.
  • - 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.
  • 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 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.
  • - Enthusiasm for working in a high-profile, fast-paced environment at the intersection of API and AI connectivity.
  • #LI-SP1 About Kong: Kong Inc., a leading developer of API and AI connectivity technologies, is building the infrastructure that powers the agentic era.
  • Trusted by the Fortune 500 and startups alike, Kong's unified API and AI platform, Kong Konnect, enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI models.

Experience

  • What You’ll Bring - 7+ years of software engineering and/or solutions engineering

Contact

  • For more information, visit www.konghq.com http://www.konghq.com.

Additional details

  • 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.
  • 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.
  • - Mentor and coach junior SEs on technical skills, discovery methods, and deal strategy.
  • Experience mentoring or coaching other SEs or technical team members. -
  • - Strong listener and communicator — you can confidently lead discussions with engineers, architects, and executives.

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