Pay by Role
Germany · Salary comparison

Machine Learning Engineer vs Product Manager salary

In Germany, a product manager earns about 32% more than a machine learning engineer $142,565 vs $108,008 per year.

Showing amounts in USD (USD default; source data is EUR). FX as of Mon, 13 Jul 2026 00:02:31 +0000. Convert currencies

Technology
Machine Learning Engineer
$108,008/yr
Monthly
$9,010
Hourly
$52
Range
$64,211$161,498
10-yr outlook
+40%
Pays more
Technology
Product Manager
$142,565/yr
Monthly
$11,861
Hourly
$68
Range
$84,855$213,164
10-yr outlook
+19%

Pay range, side by side

PercentileMachine Learning EngineerProduct Manager
Entry (10th)$64,211$84,855
25th$86,110$113,710
Median$108,008$142,565
75th$134,696$177,808
Senior (90th)$161,498$213,164

National Germany figures in EUR. Individual pay varies with experience, employer, and location.

More Technology comparisons

Frequently asked questions

Does a machine learning engineer or product manager earn more in Germany?
A product manager earns more, at about 125.000 € per year vs 94.700 € for a machine learning engineer — roughly 32% (30.300 €) more.
What is the salary range for these roles in Germany?
A machine learning engineer typically earns 56.300 €–141.600 €, while a product manager earns 74.400 €–186.900 € per year.
How much do these jobs pay per month in Germany?
On a monthly basis before tax, a machine learning engineer averages about 7.900 € and a product manager about 10.400 €.
How do entry-level salaries compare?
At the 10th percentile in Germany, a machine learning engineer earns about 56.300 € while a product manager earns about 74.400 € per year.
How do senior-level salaries compare?
At the 90th percentile in Germany, a machine learning engineer earns about 141.600 € while a product manager earns about 186.900 € per year.
Are machine learning engineer and product manager similar careers?
Both roles sit in the Technology category on Pay by Role, which is why we compare them head-to-head. Day-to-day work still differs — review each job page for skills and outlook.