Product Manager, AI
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 18h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 80d ago
The date the source published, not the day we noticed it (2026-06-26). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Europe
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay €78.5k–113.7k/yr
Middle 50% of 11 listings that do state pay — Product · all levels · Europe · EUR/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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ashby employer's own board first seen 11d ago · last seen 1h ago
The listing
About Kestra
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 role
Kestra 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 do
Define 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
What we are looking for
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
Perks & Benefits
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.
Our Hiring Process
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 apply
We 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.