Kong

HQ
San Francisco
Total Offices: 2
800 Total Employees
Year Founded: 2017

Jobs at Kong

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Recently posted jobs

21 Hours AgoSaved
In-Office or Remote
New York, NY, USA
Artificial Intelligence • Cloud • Information Technology • Software • Big Data Analytics
Drive enterprise sales growth by prospecting, managing the full sales cycle, closing complex deals, retaining customers, and expanding strategic accounts. Build executive relationships, deliver tailored product demonstrations, maintain accurate CRM forecasts, and collaborate with product, marketing, and customer success teams. Research markets and competitors, develop account plans, represent Kong at industry events, and provide feedback supporting product and go-to-market strategies.
8 Days AgoSaved
In-Office
2 Locations
Artificial Intelligence • Cloud • Information Technology • Software • Big Data Analytics
Senior corporate counsel supporting Kong’s Americas East revenue team by leading complex SaaS and software contract negotiations, advising on commercial legal matters, and supporting federal government customers. The role covers privacy, security, intellectual property, artificial intelligence, open-source software, data governance, and government contracting, while partnering with Finance, Revenue Operations, and Customer Assurance on contract execution.
One Month AgoSaved
In-Office or Remote
New York, NY, USA
Artificial Intelligence • Cloud • Information Technology • Software • Big Data Analytics
As a Forward Deployed Engineer, you'll partner with enterprise customers to implement Kong's API and AI solutions while driving automation, migrations, and production-grade coding in diverse environments.
7 Days AgoSaved
Remote
United States
Artificial Intelligence • Cloud • Information Technology • Software • Big Data Analytics
Own reliability for Kong’s Volcano internal developer platform by defining SLOs, incident practices, and observability. Design multi-region Kubernetes infrastructure, GitOps deployment automation, preview environments, managed PostgreSQL, Redis, and object storage. Lead reliability and compliance initiatives with engineering, security, and OCTO leadership while evaluating emerging edge, serverless, vector database, and AI infrastructure technologies.
17 Days AgoSaved
Remote
United States
Artificial Intelligence • Cloud • Information Technology • Software • Big Data Analytics
Design and build scalable distributed backend systems and core services in Golang. Develop reliable, high-performance systems using PostgreSQL and Redis across microservices, networking layers, and cloud platforms. Prototype and productionize platform capabilities, collaborate on strategic technical initiatives, and influence engineering standards. The role focuses on AI infrastructure, distributed database provisioning, workflow orchestration, internal tooling, and developer experience.
One Month AgoSaved
Remote
United States
Artificial Intelligence • Cloud • Information Technology • Software • Big Data Analytics
Source and headhunt top GTM talent for the CRO organization, partner with GTM leaders to define role requirements, conduct deep-dive competency interviews focused on deal mechanics, drive a rigorous interview process, provide market data and advise hiring managers, mentor other recruiters, and track conversion metrics to optimize the hiring funnel.
One Month AgoSaved
Remote
United States
Artificial Intelligence • Cloud • Information Technology • Software • Big Data Analytics
Source and assess high-caliber go-to-market talent for Kong’s CRO organization. Responsibilities include mapping competitor sales teams, conducting targeted headhunting, advising GTM leaders, providing market compensation data, performing competency interviews focused on sales deal mechanics, improving interview funnel metrics, and mentoring recruiters on GTM terminology and closing strategies.
2 Months AgoSaved
Remote
United States
Artificial Intelligence • Cloud • Information Technology • Software • Big Data Analytics
Embed with business teams to design and build AI-powered tools, automations, and workflows; coach and enable staff; create reusable solutions, documentation, adoption metrics, and governance; mentor junior members and translate AI developments into practical enterprise applications.