Kestra Technologies
Product Manager, Data Orchestration
Remote work allowed only within certain countries or regions.
Europe
Employer listed it 7 weeks ago · Added yesterday
Been open since 7 weeks ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Europe
Timezone
CET ±2
Contract
Full-time
Experience
Mid
Category
Product
This employer didn't state pay. Jobs like this usually pay around $140k–$225k a year, a typical range taken from 127 mid-level product roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Region Restricted
Remote work is allowed, but only for candidates based in Europe.
What the employer says
- Source listing states candidate location: "Europe, Remote"
What Nomaders makes of it
- Applications outside the listed area are usually rejected
- Timezone overlap with the listed area is often expected
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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.
The Role
We're looking for a pragmatic Product Manager to lead Kestra's product in the data orchestration domain: how data teams build, run, and monitor pipelines with Kestra, from ingestion and transformation to data-aware orchestration across the tools they already use. You'll take features from customer problem to delivery with minimal process. This is not a "project manager" or "product owner" role; we care about releasing real value fast and won't ask you to maintain SCRUM rituals.
What You'll Do
Own the full product lifecycle - understand the problems of data engineers, analytics engineers, and data platform teams; define technical specs; prototype (AI tools encouraged); and work closely with developers to deliver high-quality releases.
Shape Kestra's data-aware orchestration - pipelines modeled around the datasets they produce, with lineage, freshness, and data quality treated as part of orchestration.
Deepen integrations with the modern data stack - dbt, Fivetran, Airbyte, Snowflake, BigQuery, Databricks, Kafka, and the wider Kestra plugin ecosystem.
Make migrations easy - clear paths and documentation for teams moving to Kestra from Airflow and similar orchestrators.
Collaborate with the Product Lead and CTO to shape and scope features for each 8-week release cycle.
Make informed tradeoffs, balancing simplicity, technical feasibility, and long-term sustainability.
Coordinate development progress and ensure features are delivered, QA'd, documented, and ready to go .
Improve the product continuously based on customer feedback, usage data, and community input.
What We're Looking For
Hands-on, startup-minded PM comfortable working without heavy process or structure .
Strong background in the data domain - you've built or managed data pipelines yourself and know tools like dbt , Fivetran or Airbyte , and warehouses such as Snowflake, BigQuery, or Databricks from hands-on use.
Practical experience with workflow orchestration (Airflow, Dagster, Prefect, or Kestra itself) and a clear understanding of scheduling, backfills, retries, and dependencies between datasets.
Excellent communication and clarity in writing - specs, product decisions, and public-facing documentation.
Full ownership mentality. You iterate quickly based on feedback and don't wait to be told what to do.
Experience or familiarity with open-source development - comfortable writing publicly and discussing product changes in GitHub repositories.
Comfortable working with globally distributed teams across time zones.
Bonus Points
Past experience as a data engineer or analytics engineer .
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, region restricted, matches where you plan to live and work.
- 2Tailor your CV to the role at Kestra Technologies, mentioning your remote working experience and working hours (CET ±2).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
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