K

Kong

High-performance API management and connectivity

Staff Solutions Engineer

Pre-Sales Solution EngineeringUpdated on Nov 13
Full-time$220k - $250k /yrRemote

About the Job

Requirements

  • At least 7 years of software engineering and/or solutions engineering experience at a SaaS, open-source, or enterprise software company.
  • A proven track record of owning complex enterprise-level deals with multiple technical and executive stakeholders.
  • Experience mentoring or coaching other solutions engineers 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 including OAuth2, OIDC, and mTLS.
  • Hands-on experience with AI-assisted development tooling such as Claude Code, GitHub Copilot, OpenAI Codex, or equivalent.
  • Working knowledge of AI and large language model architectures, including model routing, rate limiting, semantic caching, and prompt governance.
  • Familiarity with Model Context Protocol and agentic AI patterns.
  • A solid understanding of cloud computing trends and open-source business models.

Responsibilities

  • Support field sales by 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 production.
  • Support proofs of concept throughout the evaluation process, owning technical validation and stakeholder alignment.
  • Ensure customer satisfaction across an 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 governance evaluations, including scoping API and AI use cases, large language model traffic management, and governance requirements.
  • Deliver demonstrations of API and AI governance and agentic connectivity capabilities, including Model Context Protocol governance, semantic caching, prompt guardrails, and shadow AI detection.
  • Run API- and AI-focused Technical Feasibility Workshops to validate the platform's fit for modern and AI/agentic architectures.
  • Own technical strategy for complex, multi-stakeholder enterprise deals from qualification through close.
  • Mentor and coach junior solutions engineers on technical skills, discovery methods, and deal strategy.
  • Author technical blogs, host webinars, and speak at industry events and conferences, including AWS re:Invent, Google Next, API and AI summits, and regional events.
  • Synthesize customer feedback and market signals into actionable input for the product team.

About the Company

Kong

High-performance API management and connectivity

Kong provides API management and connectivity for cloud-native applications. Its main products are Kong Gateway, a high-performance API gateway; Kong Konnect, a unified SaaS platform for API management; and Kong Mesh, an enterprise service mesh for coordinating microservices. It differentiates itself by combining an open-source core with premium features, support, and managed services, with a strong focus on Kubernetes and scalable API traffic. The goal is to help businesses build, secure, and scale their APIs and microservices to boost developer productivity and application performance.

Company size
1,001-5,000
Company stage
Series E
Total funding
$345.6M
Headquarters
San Francisco, CA
Founded
2017

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