Manager Salary in United States during 2024

Salary details

The average Manager salary lies between USD 120,000 and USD 206,100 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

Salary trend

Top 20 Job Tags for Manager roles

The three most common job tag items assiciated with Manager job listings are Engineering, Python and Machine Learning. 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:

Engineering | 8140 jobs Python | 6472 jobs Machine Learning | 6035 jobs SQL | 5555 jobs Computer Science | 5093 jobs Research | 4378 jobs Statistics | 4148 jobs Architecture | 3183 jobs Agile | 3159 jobs Data management | 3091 jobs R | 3074 jobs Security | 2973 jobs Testing | 2889 jobs Data Analytics | 2801 jobs Data analysis | 2630 jobs AWS | 2487 jobs Mathematics | 2467 jobs Privacy | 2467 jobs Excel | 2405 jobs Tableau | 2349 jobs

Top 20 Job Perks/Benefits for Manager roles

The three most common job benefits and perks assiciated with 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 | 9951 jobs Health care | 5605 jobs Flex hours | 3704 jobs Equity / stock options | 3696 jobs Startup environment | 3425 jobs Competitive pay | 3022 jobs Team events | 2848 jobs Salary bonus | 2669 jobs Insurance | 2334 jobs Flex vacation | 2280 jobs Medical leave | 2137 jobs Parental leave | 2104 jobs Wellness | 1369 jobs 401(k) matching | 1246 jobs Transparency | 697 jobs Home office stipend | 572 jobs Conferences | 501 jobs Relocation support | 501 jobs Unlimited paid time off | 418 jobs Flexible spending account | 407 jobs

Salary Composition

In the United States, the salary composition for an AI/ML/Data Science Manager can vary significantly based on region, industry, and company size. Typically, the salary is divided into three main components:

• Base Salary: This is the fixed annual salary and usually constitutes the largest portion of the total compensation package. In tech hubs like Silicon Valley, New York, or Seattle, the base salary might be higher due to the cost of living and competitive market.

• Bonus: Bonuses can be performance-based or company-wide and are often tied to the achievement of specific goals or milestones. In larger tech companies, bonuses can be a significant part of the compensation, sometimes ranging from 10% to 30% of the base salary.

• Additional Remuneration: This includes stock options, equity, or other long-term incentives, which are common in tech startups and large tech firms. These can be particularly lucrative if the company performs well.

Increasing Salary

To increase your salary further from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and methodologies. Specializing in niche areas like deep learning, natural language processing, or AI ethics can make you more valuable.

• Leadership Development: Enhance your leadership and management skills. Pursuing executive education programs or leadership workshops can prepare you for higher-level roles.

• Networking: Build a strong professional network within the industry. Attend conferences, join professional organizations, and engage in online communities to increase your visibility and opportunities.

• Performance Excellence: Consistently exceed performance expectations and take on challenging projects that demonstrate your ability to drive results.

Educational Requirements

Most AI/ML/Data Science Manager positions require at least a bachelor's degree in a related field such as computer science, data science, statistics, or engineering. However, a master's degree or Ph.D. is often preferred, especially for roles in research-intensive industries or companies. Advanced degrees can provide a deeper understanding of complex algorithms and data analysis techniques, which are crucial for leading AI/ML teams.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credibility and demonstrate your commitment to the field:

• Certified Analytics Professional (CAP): This certification is recognized across industries and validates your ability to transform data into valuable insights.

• AWS Certified Machine Learning – Specialty: This is beneficial if you are working with AWS technologies and want to demonstrate your expertise in building, training, and deploying ML models on AWS.

• Google Professional Machine Learning Engineer: This certification is useful for those working with Google Cloud technologies and focuses on designing, building, and productionizing ML models.

Experience Requirements

Typically, a minimum of 5-10 years of experience in data science, machine learning, or a related field is required. This experience should include hands-on technical work as well as leadership roles where you have managed teams or projects. Experience in a specific industry can also be beneficial, as it provides domain knowledge that can be critical for certain roles.

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