$99,500
median · per year, annualized USD
$149,000
median · per year, annualized USD
AI/ML Specialist Solutions Architect
Machine Learning Research, RF Foundation Models Specialist
Senior Specialist Field Engineer - HPC/AI/ML
Specialist Solutions Architect - AI/ML
Senior Specialist Field Engineer - HPC/AI/ML
Senior Manager, Sales Training and Development
Senior Manager, Learning and Development (Commercial)
Sr Specialist, Learning Technology
Learning Community Specialist
Senior Claims Learning & Development Specialist
People Operations Manager
Sr. Manager, Global People Operations
Senior Manager, HR Operations
Head of People Ops
Senior Manager of People Operations
People Operations Senior Manager
Director, People Ops
Senior Manager of Total Rewards & People Operations
Manager, People Operations
Senior Manager, People Operations
| Company | Median | Roles |
|---|---|---|
Harlem Children's Zone
|
$30,000 | 3 |
Nebius
|
$285,000 | 1 |
Distributed Spectrum
|
$250,000 | 1 |
CoreWeave
|
$195,000 | 1 |
Databricks
|
$180,875 | 1 |
CoreWeave Europe
|
$154,023 | 1 |
| AT Axsome Therapeutics | $152,500 | 1 |
Alamar Biosciences
|
$140,000 | 1 |
| Company | Median | Roles |
|---|---|---|
Anduril Industries
|
$150,000 | 3 |
| VI Via | $80,000 | 2 |
Rain
|
$524,500 | 1 |
Tenstorrent
|
$300,000 | 1 |
Helion
|
$222,500 | 1 |
Life360
|
$221,250 | 1 |
Druva
|
$217,334 | 1 |
Mercor
|
$215,000 | 1 |
| Location | Median | Roles |
|---|---|---|
| New York | $92,125 | 12 |
| Location | Median | Roles |
|---|---|---|
| New York | $158,000 | 6 |
| Boston | $145,000 | 3 |
| San Francisco | $144,500 | 8 |
The median for Learning & Development is $99,500 per year (typically $79,400–$131,500), versus $149,000 for People Operations ($125,000–$184,000). That puts People Operations about 50% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so Learning & Development and People Operations are compared on equal terms regardless of the currency each role was originally posted in. Only roles that publish a salary range feed the medians; numbers refresh every few hours as new roles post and older ones close, so this comparison reflects the market right now rather than a fixed survey. Use it as a directional benchmark when weighing one path against the other.