Location: Remote
Type: Full-time
About KestraKestra is the open-source declarative orchestration platform that simplifies complex data workflows and business processes. We bridge the gap between engineering and business logic, allowing teams to build, scale, and monitor their pipelines with ease. As we scale our Enterprise offering, we are looking for a technical powerhouse who can guide our customers from their first POC to long-term architectural success.
In March 2026, we closed a $25M Series A led by RTP Global, with participation from Alven, ISAI, and Axeleo – backed by founders from Datadog, dbt Labs, and Hugging Face.
The RoleAs a Customer Success / Solution Engineer, you will sit at the intersection of Sales, Product, and Community. You aren't just a support person; you are a Trusted Advisor. You will be responsible for the technical success of our Enterprise customers while acting as a bridge to our vibrant open-source community.
Whether it’s architecting a complex deployment for a Fortune 500 company or unblocking a community member on Slack, you are the face of Kestra’s technical excellence.
What You’ll Do🚀 Pre-Sales & Solutions
Lead Pre-Sales Opportunities: Partner with the sales team to lead technical discovery, understand prospect requirements, and position Kestra Enterprise effectively.
Enterprise Evaluations: Own the Proof of Concept (POC) process. You will be responsible for the POC success plan; advising on architecture, success criteria and flow design to ensure our prospects realise the value of Kestra in record time.
Technical Evangelism: Demonstrate the technical advantages of our declarative, universal orchestrator and how it outshines legacy orchestrators.
🤝 Customer Success
Full 360 Ownership: Support existing customers throughout their entire lifecycle—from initial onboarding and training to quarterly architectural reviews.
Elite Technical Support: Own escalations for our Enterprise accounts. You’ll partner with our engineering team to diagnose complex issues and drive them to resolution by communicating clearly with customers, documenting learnings, and building processes or automations to avoid these in future.
Continuous Product Feedback: Translate real-world customer friction into product requirements. You are the "Voice of the Customer," helping our developers prioritise the roadmap based on actual field data.
Unblock & Optimise: Identify technical bottlenecks in customer environments and provide best-practice guidance on scaling, managing resources, and securely running the platform.
Expansion & Use-Cases: Proactively find new internal use-cases for customers, helping them to expand their Kestra footprint from data engineering to infrastructure automation, Agentic AI orchestration and more.
🌐 Community & Product Advocacy
OSS Engagement: Be an active member of our open-source community. Advise users on Slack/GitHub and turn their feedback into product improvements.
Brand Ambassadorship: Represent Kestra at meetups, conferences and webinars. Create technical content such as blogs, "How-to" videos, and blueprints to help the ecosystem grow.
Engineering Liaison: Work closely with our core engineering team to prioritise features and resolve critical support issues in a timely fashion.
The Hybrid Skillset: You have the "Engineer" mind but the "Consultant" heart. You can code, but you also love talking to people.
Vertical Domain Expertise: Deep experience in at least one of the following:
Data Engineering: You’ve built production-grade pipelines using tools like dbt, Spark, Snowflake, or DuckDB.
Infrastructure-as-Code (Platform Engineering): You are a pro with Terraform/OpenTofu, Kubernetes, and CI/CD patterns.
AI/MLOps: You understand the lifecycle of LLMs, vector databases, and the orchestration required to move models from notebook to production.
Data/Orchestration Background: Experience with tools like Airflow, Prefect, or Dagster is a huge plus. You understand the "pain" of orchestration.
Problem Solver: You don’t just report bugs; you find workarounds and suggest long-term architectural fixes.
Communication: Ability to explain complex infrastructure concepts to both a CTO and a Junior Data Analyst.
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.
Does this sound like you? Send us your CV and a brief note about the coolest workflow you’ve ever built (and why it was a nightmare to orchestrate before Kestra!).
Skills Required
- Strong coding ability combined with consultative, customer-facing skills
- Deep experience in at least one vertical: Data Engineering (dbt, Spark, Snowflake, DuckDB)
- Deep experience in at least one vertical: Infrastructure-as-Code / Platform Engineering (Terraform/OpenTofu, Kubernetes, CI/CD)
- Deep experience in at least one vertical: AI / MLOps (LLMs, vector databases, model lifecycle orchestration)
- Proven experience owning POCs and leading pre-sales technical discovery and evaluations
- Experience supporting enterprise customers throughout lifecycle (onboarding, training, escalations, architectural reviews)
- Active open-source community engagement (Slack/GitHub) and public advocacy (meetups, blogs, webinars)
- Familiarity with orchestration tools (Airflow, Prefect, Dagster)
- Ability to communicate complex infrastructure concepts to both technical leaders and junior analysts
- Experience with cloud-native technologies and AI agent/orchestration patterns
What We Do
Kestra is an open-source orchestration platform that makes both scheduled and event-driven workflows easy. By bringing Infrastructure as Code best practices to data, process, and microservice orchestration, you can build reliable workflows and manage them with confidence. In just a few lines of code, you can create a flow directly from the UI. Thanks to the declarative YAML interface for defining orchestration logic, business stakeholders can participate in the workflow creation process. Kestra offers a versatile set of language-agnostic developer tools while simultaneously providing an intuitive user interface tailored for business professionals. The YAML definition gets automatically adjusted any time you make changes to a workflow from the UI or via an API call. Therefore, the orchestration logic is always managed declaratively in code, even if some workflow components are modified in other ways (UI, CI/CD, Terraform, API calls).








