As of August 2026, the average salary for Lead at Draup in the United States is $169,576 per year, which is equivalent to an hourly rate of approximately $82. Most salaries for this position fall within the range of $156,590 to $185,346 annually.
View detailed salary information by job role at Draup. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.
$793,319 / year
Salary Range: $607,783 - $998,606
Executive
$462,791 / year
Salary Range: $364,844 - $586,063
Executive
$275,479 / year
Salary Range: $239,152 - $326,534
Digital
$262,538 / year
Salary Range: $241,315 - $279,274
Product Management
$255,180 / year
Salary Range: $215,413 - $306,020
Finance
$224,870 / year
Salary Range: $201,027 - $251,713
Sales
$170,992 / year
Salary Range: $152,986 - $188,347
Human Resources
$143,987 / year
Salary Range: $135,307 - $160,886
Operations
$143,987 / year
Salary Range: $135,307 - $160,886
Operations
$143,752 / year
Salary Range: $130,580 - $156,510
Research and Development
$136,088 / year
Salary Range: $123,907 - $146,100
Data Science
To succeed and maximize your earning potential as a Lead at Draup, 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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