Kestra is the universal orchestration platform — open source, declarative, and designed to orchestrate data pipelines, IT automation, business workflows, and AI/agentic systems.
Trusted by over 10,000 organizations worldwide — including JPMorgan Chase, Bloomberg, FILA, and Crédit Agricole — Kestra orchestrates mission-critical workloads at scale. The open-source project has close to 30,000 GitHub stars, hundreds of contributors, and a fast-growing global community.
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.
About the roleKestra orchestrates workflows across systems and domains, and AI agents and LLM-driven workflows are a growing part of that. You will own the product side of AI workflows at Kestra: what we build and for whom. The job is to find the AI use cases worth supporting, validate them with customers, and shape them into product.
You would work directly with the founders, the engineering team, and customer-facing colleagues.
What you will doDefine the AI features, from use cases to roadmap planning
Run customer and prospect interviews to validate which AI workflows are worth building
Turn validated use cases into specs and reusable blueprints with the engineering team
Decide what we do not build, and say so clearly
Real experience building AI or developer products, with examples you can talk through in depth
Strong product judgment: you can tell a serious use case from a flashy one
Technical fluency. You do not need to write the code, but you need to understand agents, orchestration, and integrations well enough to scope them.
Direct, low-fluff communication
Work from anywhere: We’re a remote-first company, so you can work from wherever feels like home. Plus, you’ll have access to coworking spaces worldwide if you ever need a change of scenery.
Health coverage: From medical support, dental, and vision, we've got you covered.
Home office setup on us: We’ll provide all the equipment you need to work comfortably.
We aim to move quickly (2-3 weeks), but we can adjust the timeline if needed.
Intro call with the hiring manager (30 min)
Technical test (homework done in async)
Team chat with two of your future colleagues (30 min)
Final discussion with one of our co-founders (30 min)
We’re here to make the process smooth and transparent for you.
Before you applyWe have seen too many AI candidates whose entire experience is one demo or one prototype. If that is the depth of your AI background, this is not the right role. We are looking for someone who has released AI product to real users and can speak to the trade-offs.
