Salary for Mid-level / Intermediate Engineering Manager in United States during 2024

Salary details

The average mid-level / intermediate Engineering Manager salary lies between USD 204,000 and USD 320,000 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: Nov. 24, 2024

Top 20 Job Tags for Mid-level / Intermediate Engineering Manager roles

The three most common job tag items assiciated with mid-level / intermediate Engineering Manager job listings are Engineering, Machine Learning and Python. 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 | 647 jobs Machine Learning | 407 jobs Python | 372 jobs Computer Science | 277 jobs Architecture | 249 jobs Pipelines | 219 jobs AWS | 203 jobs Security | 176 jobs Research | 174 jobs SQL | 165 jobs Agile | 165 jobs Testing | 142 jobs Privacy | 137 jobs Java | 130 jobs Data pipelines | 122 jobs Spark | 119 jobs Distributed Systems | 115 jobs Azure | 111 jobs GCP | 107 jobs Kubernetes | 105 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Engineering Manager roles

The three most common job benefits and perks assiciated with mid-level / intermediate Engineering Manager job listings are Career development, Health care and Equity / stock options. 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 | 535 jobs Health care | 311 jobs Equity / stock options | 247 jobs Startup environment | 210 jobs Flex hours | 208 jobs Salary bonus | 190 jobs Parental leave | 169 jobs Flex vacation | 161 jobs Team events | 151 jobs Competitive pay | 133 jobs Insurance | 128 jobs Medical leave | 110 jobs 401(k) matching | 85 jobs Home office stipend | 72 jobs Wellness | 61 jobs Unlimited paid time off | 45 jobs Transparency | 42 jobs Gear | 38 jobs Relocation support | 37 jobs Conferences | 30 jobs

Salary Composition for AI/ML/Data Science Engineering Managers

The salary for a mid-level/intermediate engineering manager in AI/ML/Data Science typically comprises several components. The fixed base salary is the largest portion, often accounting for 60-80% of the total compensation package. Bonuses, which can be performance-based or tied to company success, usually make up 10-20%. Additional remuneration might include stock options, especially in tech companies, which can range from 10-20% of the total package. The exact composition can vary significantly depending on the region, industry, and company size. For instance, tech hubs like Silicon Valley or New York may offer higher base salaries and more substantial stock options, while smaller companies might offer a larger percentage in bonuses to attract talent.

Steps to Increase Salary from This Position

To increase your salary beyond the median for this role, consider the following strategies:

• Skill Enhancement: Continuously update your technical skills and stay abreast of the latest trends in AI/ML. Specializing in high-demand areas like deep learning or natural language processing can make you more valuable.
• Leadership Development: Enhance your leadership and management skills. Pursuing executive education or leadership training can prepare you for higher-level roles.
• Networking: Build a strong professional network. Engaging with industry peers can open up opportunities for higher-paying positions.
• Performance Excellence: Consistently exceed performance expectations. Demonstrating your ability to drive significant results can position you for promotions and salary increases.
• Negotiation: Don’t hesitate to negotiate your salary and benefits package, especially if you have a strong track record and are in demand.

Educational Requirements

Most mid-level engineering manager roles in AI/ML/Data Science require at least a bachelor's degree in computer science, engineering, mathematics, or a related field. However, a master's degree or Ph.D. is often preferred, especially for roles that involve complex problem-solving and advanced technical knowledge. Degrees in data science, machine learning, or artificial intelligence are particularly advantageous.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credentials and demonstrate your expertise:

• Certified Machine Learning Professional (CMLP)
• AWS Certified Machine Learning – Specialty
• Google Professional Machine Learning Engineer
• Microsoft Certified: Azure AI Engineer Associate
• Data Science Council of America (DASCA) Senior Data Scientist

These certifications can validate your skills and knowledge, making you a more competitive candidate.

Experience Requirements

Typically, a mid-level engineering manager in AI/ML/Data Science should have 5-10 years of experience in the field. This includes hands-on experience with machine learning models, data analysis, and software development. Experience in leading teams and managing projects is crucial, as the role involves both technical and managerial responsibilities.

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