Staff Solutions Engineer - West

Kong Inc.; California; On-site; USD 160,000 - 230,000; Full time

Job summary

Kong Inc. is seeking a Staff Solutions Engineer to be at the epicenter of the API and AI connectivity revolution. You’ll act as a trusted technical advisor, helping enterprises architect secure, scalable API ecosystems and navigate the agentic AI era.

You’ll lead technical validation, drive multi-stakeholder engagements, mentor junior SEs, and deliver demonstrations of Kong’s API/AI governance capabilities. This role blends strategy with hands-on execution in a fast-paced environment.

Qualifications

• 7+ years of software engineering and/or solutions engineering experience in SaaS/open source/enterprise software.
• Demonstrated 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 such as Claude Code, GitHub Copilot, OpenAI Codex, or equivalents.
• Working knowledge of AI/LLM architectures, including model routing, rate limiting, semantic caching, and prompt governance.
• Familiarity with MCP and agentic AI patterns.
• Strong listener and communicator—capable of leading discussions with engineers, architects, and executives.
• Enthusiasm for fast-paced environments at the intersection of API and AI connectivity.

Responsibilities

• Support field sales in helping customers understand the value of Kong API and AI connectivity platform.
• Conduct discovery conversations to map requirements to Kong solutions from reviews to production.
• Support POCs throughout evaluation, owning technical validation and stakeholder alignment.
• Ensure customer satisfaction across assigned 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 Governance evaluations (MCP governance, scoping use cases, traffic management).
• Deliver demonstrations of Kong’s API & AI governance and agentic connectivity capabilities.
• Run Technical Feasibility Workshops to validate Kong’s fit for AI architectures.
• Own technical strategy for multi-stakeholder enterprise deals from qualification through close.
• Mentor/coaching for junior SEs on skills, discovery methods, and deal strategy.
• Drive thought leadership via technical blogs, webinars, and speaking engagements.
• Influence product direction from customer feedback and market signals.

Skills

Enterprise deal ownership

Mentoring SEs

Docker

Kubernetes

Cloud-native platforms

REST APIs

GraphQL APIs

CI/CD

API security patterns

AI tooling

AI/LLM architectures

Model Context Protocol

MCP governance

Communication

Tools

Docker

Kubernetes

Cloud-native platforms

Job description

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, 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.

#LI-MP1

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.