As of July 2026, the average salary for Lead at Techwave in the United States is $202,563 per year, which is equivalent to an hourly rate of approximately $97. Most salaries for this position fall within the range of $186,833 to $221,763 annually.
DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.
View detailed salary information by job role at Techwave. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.
$431,824 / year
Salary Range: $368,417 - $502,790
Legal
$414,603 / year
Salary Range: $336,155 - $516,196
Executive
$282,088 / year
Salary Range: $247,363 - $352,646
-
$242,520 / year
Salary Range: $208,601 - $277,724
Government Affairs
$225,656 / year
Salary Range: $196,988 - $253,539
Legal Department
$224,446 / year
Salary Range: $198,503 - $251,731
Sales
$216,524 / year
Salary Range: $191,030 - $236,724
Legal
$213,747 / year
Salary Range: $170,692 - $273,794
Nonprofit
$211,791 / year
Salary Range: $194,391 - $228,828
Human Resources
$202,438 / year
Salary Range: $182,897 - $222,669
Business Development
$195,409 / year
Salary Range: $182,424 - $206,818
Enterprise Infrastructure Architecture
To succeed and maximize your earning potential as a Lead at Techwave, a specific set of skills is crucial. The competencies listed below are highly valued. Explore the skills that can boost your compensation.
| Skills | Level of importance | Description |
|---|---|---|
| Machine Learning | Using mathematical models, data, and algorithms to help a computer learn without direct instruction. | |
| Algorithms | Algorithms act as an exact list of instructions that conduct specified actions step by step in either hardware- or software-based routines. | |
| Python | Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements. | |
| Data Science |
Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
|
|
| Deep Learning |
Analyzing, developing, and applying big data and algorithms to imitate how humans think and learn.
|
Understanding the career path for an Lead can help you plan long-term professional growth. Below is a typical career progression for an Lead, highlighting common next-step roles and opportunities for increased responsibility and compensation.
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