Staff Solutions Engineer - New York
Role details
Job location
Tech stack
Job description
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. 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 the master architect helping the world's most innovative enterprises navigate the transition from monolithic relics to high-performance, cloud-native ecosystems. 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 assigned set of accounts Prioritize 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 manager
Requirements
7+ years 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.
