Skip to main content
English
English
Back to job
Data Product Owner (m/f/d)
Berlin
Full-time
Fixed-term
80,000 - 150,000 € per year
Show us how you can complement the team.
We look forward to getting to know your motivation and mission!
Name
*
(required)
First
Last
Email
*
(required)
Phone
*
(required)
LinkedIn
*
(required)
Available from
*
(required)
Do you live in Berlin?
*
(required)
Please select
Yes
No
No, but I would be willing to relocate
What is your level of proficiency in German?
*
(required)
Please select
Basic
Intermediate
Professional
Native / Bilingual
What is your salary expectation?
*
(required)
How many years have you worked hands-on with company, market or B2B data?
*
(required)
Please select
Less than 1 year
1-3 years
3-5 years
more than 5 years
Please share a link to your GitHub, portfolio or a data project you've built.
*
(required)
Describe a data-related decision you owned. What did it cost, what trade-offs did you make, and how did you measure success?
*
(required)
A scraper or enrichment pipeline you wrote yourself: Source, volume, libraries, and how you found out when it broke. (max 120 words)
*
(required)
Describe a time you used an LLM to extract or classify records. How big was your labelled sample, what precision did you reach, and what happened to the records the model couldn’t classify cleanly? (max 120 words)
*
(required)
How do you decide whether “Siemens AG”, “Siemens Energy AG” and “Siemens Mobility GmbH” belong in one record or three? Which signals do you use, and where has your approach failed before? (max 120 words)
*
(required)
You have €40k/year: a vendor offers headcount data for 30,000 companies at unknown accuracy, while manual scouting covers 3,000 accurately. What would you test first, and how would you decide?
*
(required)
What’s your favourite product built on large amounts of data, and why? What would you change about its data? (max 120 words)
*
(required)
You’ve bought or evaluated data from PitchBook, Crunchbase, Dealroom or a company register. What did it get wrong? (max 120 words)
Documents
Please provide us with your LinkedIn URL, your earliest starting date and your CV. Submitting other documents is optional.
CV
*
(required)
Add file
Other
(Optional)
Add file
Submit Application