Salary for Mid-level / Intermediate Engineering Manager during 2024

Salary details

The average mid-level / intermediate Engineering Manager salary lies between USD 195,500 and USD 315,000 globally. 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.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 22, 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 | 698 jobs Machine Learning | 442 jobs Python | 408 jobs Computer Science | 304 jobs Architecture | 275 jobs Pipelines | 233 jobs AWS | 224 jobs Security | 199 jobs Research | 189 jobs Agile | 189 jobs SQL | 178 jobs Testing | 158 jobs Privacy | 151 jobs Java | 145 jobs Data pipelines | 130 jobs GCP | 125 jobs Spark | 124 jobs Distributed Systems | 124 jobs Azure | 122 jobs Kubernetes | 120 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 | 582 jobs Health care | 331 jobs Equity / stock options | 268 jobs Startup environment | 235 jobs Flex hours | 226 jobs Salary bonus | 197 jobs Parental leave | 180 jobs Flex vacation | 177 jobs Team events | 163 jobs Competitive pay | 142 jobs Insurance | 137 jobs Medical leave | 118 jobs 401(k) matching | 89 jobs Home office stipend | 75 jobs Wellness | 68 jobs Unlimited paid time off | 50 jobs Transparency | 46 jobs Relocation support | 43 jobs Gear | 40 jobs Conferences | 31 jobs

Salary Composition

The salary for a Mid-level/Intermediate Engineering Manager in AI/ML/Data Science typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary often constitutes the largest portion, ranging from 60% to 80% of the total compensation package. Performance bonuses can vary significantly, often between 10% to 20%, depending on the company's performance and individual contributions. Additional remuneration, such as stock options, can make up the remaining 10% to 20%, and this is more prevalent in larger tech companies or startups with high growth potential. Regional differences also play a role; for instance, salaries in tech hubs like Silicon Valley or New York City tend to be higher due to the cost of living and competitive job market. Industry-wise, tech companies generally offer higher compensation compared to traditional industries, and larger companies might provide more comprehensive benefits packages.

Increasing Salary Further

To increase your salary beyond the median of USD 250,000, consider pursuing roles with greater responsibility, such as Senior Engineering Manager or Director of Engineering. This often involves managing larger teams, overseeing multiple projects, or taking on strategic responsibilities. Additionally, specializing in high-demand areas within AI/ML, such as deep learning, natural language processing, or AI ethics, can make you more valuable. Networking within the industry and building a strong personal brand through speaking engagements, publications, or contributions to open-source projects can also enhance your visibility and attractiveness to potential employers. Finally, negotiating your salary based on market research and leveraging offers from other companies can be effective strategies.

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 in larger companies or for roles with a strong research component. Advanced degrees can provide a deeper understanding of complex algorithms and data structures, which are crucial in AI/ML. Additionally, coursework or experience in business management can be beneficial, as these roles often require balancing technical expertise with leadership and strategic planning.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and demonstrate your commitment to professional development. Certifications such as the Certified Data Scientist (CDS), TensorFlow Developer Certificate, or AWS Certified Machine Learning can be valuable. These certifications validate your technical skills and knowledge in specific tools and platforms commonly used in the industry. Additionally, management-focused certifications like the Project Management Professional (PMP) or Certified ScrumMaster (CSM) can be advantageous, as they highlight your ability to lead teams and manage projects effectively.

Required Experience

Typically, a mid-level engineering manager in AI/ML/Data Science is expected to have 5 to 10 years of experience in the field. This experience should include hands-on work with AI/ML technologies, as well as a proven track record of leading projects or teams. Experience in software development, data analysis, and algorithm design is crucial. Additionally, prior experience in a managerial role, even if not directly related to AI/ML, can be beneficial, as it demonstrates your ability to lead and mentor a team, manage resources, and communicate effectively with stakeholders.

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