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The differences between tool liaisons and product support engineers can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 2-4 years to become a tool liaison, becoming a product support engineer takes usually requires 4-6 years. Additionally, a product support engineer has an average salary of $90,379, which is higher than the $83,524 average annual salary of a tool liaison.
The top three skills for a tool liaison include jigs, CATIA and design requests. The most important skills for a product support engineer are product support, technical support, and troubleshoot.
| Tool Liaison | Product Support Engineer | |
| Yearly salary | $83,524 | $90,379 |
| Hourly rate | $40.16 | $43.45 |
| Growth rate | 10% | 2% |
| Number of jobs | 13,025 | 201,554 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 63% | Bachelor's Degree, 66% |
| Average age | 42 | 41 |
| Years of experience | 4 | 6 |
Tool liaisons and product support engineers have different pay scales, as shown below.
| Tool Liaison | Product Support Engineer | |
| Average salary | $83,524 | $90,379 |
| Salary range | Between $42,000 And $163,000 | Between $67,000 And $121,000 |
| Highest paying City | - | San Francisco, CA |
| Highest paying state | - | California |
| Best paying company | - | Apple |
| Best paying industry | - | Technology |
There are a few differences between a tool liaison and a product support engineer in terms of educational background:
| Tool Liaison | Product Support Engineer | |
| Most common degree | Bachelor's Degree, 63% | Bachelor's Degree, 66% |
| Most common major | Mechanical Engineering | Electrical Engineering |
| Most common college | Northwestern University | Northwestern University |
Here are the differences between tool liaisons' and product support engineers' demographics:
| Tool Liaison | Product Support Engineer | |
| Average age | 42 | 41 |
| Gender ratio | Male, 89.2% Female, 10.8% | Male, 80.7% Female, 19.3% |
| Race ratio | Black or African American, 4.9% Unknown, 4.0% Hispanic or Latino, 12.0% Asian, 9.6% White, 69.3% American Indian and Alaska Native, 0.2% | Black or African American, 3.4% Unknown, 4.6% Hispanic or Latino, 9.4% Asian, 13.0% White, 69.4% American Indian and Alaska Native, 0.1% |
| LGBT Percentage | 4% | 5% |