Salary for Mid-level / Intermediate Engineering Manager during 2024

Salary details

The average mid-level / intermediate Engineering Manager salary lies between USD 199,000 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: Nov. 17, 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 | 600 jobs Machine Learning | 375 jobs Python | 349 jobs Computer Science | 256 jobs Architecture | 229 jobs Pipelines | 202 jobs AWS | 190 jobs Research | 161 jobs Security | 156 jobs SQL | 154 jobs Agile | 151 jobs Testing | 129 jobs Privacy | 126 jobs Java | 123 jobs Spark | 110 jobs Distributed Systems | 110 jobs Data pipelines | 108 jobs Azure | 106 jobs GCP | 102 jobs Kubernetes | 98 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 | 497 jobs Health care | 290 jobs Equity / stock options | 233 jobs Startup environment | 197 jobs Flex hours | 195 jobs Salary bonus | 179 jobs Parental leave | 157 jobs Flex vacation | 151 jobs Team events | 142 jobs Competitive pay | 123 jobs Insurance | 118 jobs Medical leave | 101 jobs 401(k) matching | 79 jobs Home office stipend | 67 jobs Wellness | 53 jobs Unlimited paid time off | 44 jobs Gear | 38 jobs Transparency | 38 jobs Relocation support | 34 jobs Conferences | 29 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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