Salary for Entry-level / Junior Manager in United States during 2024

Salary details

The average entry-level / junior Manager salary lies between USD 65,000 and USD 124,805 in the United States. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Jan. 19, 2025

Top 20 Job Tags for Entry-level / Junior Manager roles

The three most common job tag items assiciated with entry-level / junior Manager job listings are Python, SQL and Engineering. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Python | 177 jobs SQL | 157 jobs Engineering | 131 jobs Computer Science | 120 jobs Power BI | 102 jobs Data Analytics | 93 jobs Excel | 87 jobs Statistics | 86 jobs Data analysis | 83 jobs R | 81 jobs Machine Learning | 77 jobs Research | 70 jobs Data management | 69 jobs Tableau | 68 jobs Testing | 61 jobs Agile | 61 jobs Finance | 57 jobs Business Intelligence | 56 jobs Consulting | 48 jobs Big Data | 42 jobs

Top 20 Job Perks/Benefits for Entry-level / Junior Manager roles

The three most common job benefits and perks assiciated with entry-level / junior Manager job listings are Career development, Health care and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 195 jobs Health care | 112 jobs Flex hours | 105 jobs Startup environment | 67 jobs Team events | 63 jobs Insurance | 48 jobs Flex vacation | 44 jobs Competitive pay | 39 jobs Medical leave | 35 jobs Salary bonus | 35 jobs Parental leave | 33 jobs Equity / stock options | 32 jobs 401(k) matching | 21 jobs Wellness | 17 jobs Travel | 11 jobs Fitness / gym | 8 jobs Relocation support | 8 jobs Flexible spending account | 8 jobs Transparency | 7 jobs Conferences | 6 jobs

Salary Composition

In the United States, the salary composition for an entry-level or junior manager role in AI/ML/Data Science typically includes a base salary, performance bonuses, and sometimes additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's performance and individual achievements. Additional remuneration, like stock options, is more common in tech companies, especially startups or large tech firms, and can be a significant part of the compensation in regions like Silicon Valley. In contrast, companies in other regions or industries might offer less in terms of stock options but could provide other benefits like health insurance, retirement plans, or educational reimbursements.

Steps to Increase Salary

To increase your salary from an entry-level position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your technical skills, especially in high-demand areas like deep learning, natural language processing, or big data analytics.
• Advanced Education: Pursuing a master's degree or Ph.D. in a relevant field can open up higher-paying opportunities.
• Networking: Build a strong professional network through industry conferences, meetups, and online platforms like LinkedIn.
• Performance Excellence: Consistently exceed performance expectations to position yourself for promotions and salary raises.
• Industry Transition: Consider moving to industries that pay higher salaries for AI/ML roles, such as finance or healthcare.

Educational Requirements

Most entry-level or junior manager positions in AI/ML/Data Science require at least a bachelor's degree in a related field such as computer science, data science, statistics, or engineering. However, many employers prefer candidates with a master's degree due to the advanced technical skills and specialized knowledge it provides. A strong foundation in mathematics, statistics, and programming is essential, regardless of the degree level.

Helpful Certifications

While not always mandatory, certain certifications can enhance your resume and demonstrate your expertise to potential employers. Some valuable certifications include:

• Certified Data Scientist (CDS)
• Google Professional Machine Learning Engineer
• Microsoft Certified: Azure AI Engineer Associate
• AWS Certified Machine Learning – Specialty
• TensorFlow Developer Certificate

These certifications can validate your skills in specific tools and platforms, making you a more attractive candidate.

Experience Requirements

For an entry-level or junior manager role, employers typically look for candidates with some practical experience, which can be gained through internships, co-op programs, or project work during your studies. Experience with real-world data sets, familiarity with machine learning frameworks, and the ability to work in a team environment are often required. While extensive professional experience is not necessary, demonstrating hands-on experience with relevant projects can be a significant advantage.

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