
51 - 200 employees
Founded 2022
☁️ SaaS
🤖 Artificial Intelligence
🏢 Enterprise
SaaS • Artificial Intelligence • Enterprise
Kestra is an open-source orchestration platform for data, AI, and infrastructure workflows. It is event-driven, language-agnostic, and built for enterprise scale, offering declarative YAML workflows, an API-first design, CI/CD-native features, and 1800+ plugins to integrate cloud, data, infra and SaaS tools. Kestra ships as self-hosted (Docker/Kubernetes) and a managed cloud edition, and provides enterprise capabilities (SSO, RBAC, audit logs, multi-tenancy, isolated workers) alongside AI-native features like RAG pipelines, agents, and a Copilot to operationalize and govern AI workflows.
🕒 July 27
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51 - 200 employees
Founded 2022
☁️ SaaS
🤖 Artificial Intelligence
🏢 Enterprise
SaaS • Artificial Intelligence • Enterprise
Kestra is an open-source orchestration platform for data, AI, and infrastructure workflows. It is event-driven, language-agnostic, and built for enterprise scale, offering declarative YAML workflows, an API-first design, CI/CD-native features, and 1800+ plugins to integrate cloud, data, infra and SaaS tools. Kestra ships as self-hosted (Docker/Kubernetes) and a managed cloud edition, and provides enterprise capabilities (SSO, RBAC, audit logs, multi-tenancy, isolated workers) alongside AI-native features like RAG pipelines, agents, and a Copilot to operationalize and govern AI workflows.
• Lead Pre-Sales Opportunities: Partner with the sales team for technical discovery and to position Kestra Enterprise. • Own the Proof of Concept (POC) process and advise on architecture, success criteria and flow design. • Support existing customers throughout their lifecycle from onboarding to architectural reviews. • Diagnose complex issues for Enterprise accounts and partner with engineering teams for resolutions. • Actively engage with open-source community members to advise and turn feedback into product improvements. • Represent Kestra at meetups, conferences and webinars and create technical content.
• Deep experience in at least one of the following: Data Engineering, Infrastructure-as-Code (Platform Engineering), or AI/MLOps. • Ability to communicate complex infrastructure concepts to a diverse audience from CTO to Junior Data Analyst. • Problem Solver: You don’t just report bugs; you find workarounds and suggest architectural fixes.
• Remote-First: Work from anywhere with a flexible schedule. • High Impact: You’ll be one of the first hires in this department, helping define the "Field Engineering" playbook. • Open Source: We believe in the power of community. Your work will be visible and impactful to thousands of users globally. • Modern Stack: Work with the latest in cloud-native technologies, AI agents, and high-performance orchestration.
Apply Now🕒 July 22
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