Staff Solutions Engineer
Are you ready to power the World's connections?
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.
What you’ll be doing
Support field sales in helping customers understand the value of the Kong API/Connectivity Management platform
Understand customer requirements and how the Kong platform can help. Grow trusted client relationships throughout the entire sales lifecycle, from initial product reviews to production
Support PoCs throughout the entire evaluation process
Ensure 100% customer satisfaction across the assigned set of accounts
Prioritise customer needs and coordinate with support, product, and engineering teams to help support customer needs
Create technical documentation for DevOps, implementations, and services engagements
Support top-of-funnel marketing by creating blogs, webinars, and participating in trade shows and field events.
And any additional tasks required by the manager
What you’ll bring
7+ years of software engineer and/or sales engineer management experience at SaaS, Open Source or Enterprise Software company
Solid understanding of cloud computing trends and open source business models
You are a strong listener and communicator
You can confidently lead a discussion with a group of Product Managers, Engineers, and Executives
Enthusiasm for working in a high-profile, fast-paced startup culture
Experience with Docker/Kubernetes and other cloud native platforms
Experience with APIs, CI/CD automation frameworks and AI and LLM technologies.
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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. For more information, visit www.konghq.com.
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