Senior API & Cloud Success Architect

Kong

Sacramento (CA)

On-site

USD 90,000 - 120,000

Full time

7 hours ago
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Job summary

Kong Inc., the AI Connectivity Company, seeks a Customer Experience professional to help customers leverage Kong’s APIs and microservices, driving adoption and value realization. You will manage a portfolio of enterprise customers, build relationships, and work with Sales to expand usage of Kong’s platform.

You will contribute to scalable, self-service assets and best practices while collaborating with product and engineering teams to deliver customer outcomes in a fast-paced startup environment.

Qualifications

  • Experience in SaaS, open-source, or infrastructure software environments.
  • Ability to design scalable customer engagement strategies and automation.
  • Familiarity with cloud-native architectures and API management concepts.

Responsibilities

  • Coaching customers throughout their lifecycle and coordinating with CX teams.
  • Define adoption plans and post-sales engagement strategies.
  • Collaborate with Sales and Product to maximize solution value.
  • Improve tooling and processes to increase team efficiency.
  • Manage customer projects and ensure successful outcomes.
  • Develop deep product knowledge and translate into customer usage.
  • Represent Kong and contribute to cross-team collaboration.

Skills

Builder mindset
Portfolio management
Customer engagement
Strong communication
SaaS/open source familiarity
Cloud Native basics
DevOps/CI/CD understanding

Tools

Kubernetes
APIM
CI/CD tools

Job description

Kong Inc., the AI Connectivity Company, seeks a Customer Experience professional to help customers leverage Kong’s APIs and microservices, driving adoption and value realization. You will manage a portfolio of enterprise customers, build relationships, and work with Sales to expand usage of Kong’s platform.

You will contribute to scalable, self-service assets and best practices while collaborating with product and engineering teams to deliver customer outcomes in a fast-paced startup environment.

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