Solution Engineer

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Kestra

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Partner with Account Executives on enterprise deals: lead technical discovery, run product demos tailored to each prospect's architecture, and build proof-of-concept implementations. • Serve as the trusted technical advisor during the sales cycle, answering questions about deployment models, integrations, security, scalability, and migration paths. • Design and build custom demo environments, reference architectures, and workflow examples that map Kestra's capabilities to specific customer use cases. • Lead technical evaluations and POCs, working directly with prospects' engineering teams to validate Kestra in their environment. • Translate customer technical requirements into feedback for the Product and Engineering teams, helping shape the product roadmap based on real field experience. • Contribute to technical sales collateral: architecture diagrams, integration guides, competitive comparisons, and best-practice documentation.

🎯 Requirements

• Strong engineering background with hands-on experience in infrastructure, data engineering, or platform tooling (Docker, Kubernetes, Terraform, CI/CD, cloud platforms, or similar). • Experience in a pre-sales, solutions engineering, or technical consulting role, working directly with enterprise customers on technical evaluations. • Ability to lead technical conversations with senior engineers and architects, covering topics like deployment, security, scaling, and system integration. • Fluent in both English and German (written and spoken) at a professional level. • Comfortable building working demos and proof-of-concept deployments. You don't hand off a slide deck and walk away; you get into the environment and make it work. • Strong communicator who can bridge the gap between customer requirements and product capabilities, both in live conversations and in written proposals.

🏖️ Benefits

• Real ownership in a globally distributed, technical team. • Direct exposure to product strategy and company priorities. • A product used for mission-critical workloads — not demos. • Competitive compensation, equity, and health insurance.