Engineering Manager Salary in 2024

Salary details

The average Engineering Manager salary lies between USD 192,000 and USD 302,000 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 Engineering Manager roles

The three most common job tag items assiciated with 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 | 1133 jobs Machine Learning | 751 jobs Python | 694 jobs Computer Science | 570 jobs Architecture | 496 jobs Security | 407 jobs AWS | 377 jobs Pipelines | 370 jobs Java | 325 jobs Agile | 305 jobs SQL | 294 jobs Research | 271 jobs Testing | 269 jobs GCP | 252 jobs Privacy | 238 jobs Azure | 232 jobs Data pipelines | 220 jobs Spark | 209 jobs ML models | 198 jobs Distributed Systems | 195 jobs

Top 20 Job Perks/Benefits for Engineering Manager roles

The three most common job benefits and perks assiciated with 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 | 945 jobs Health care | 496 jobs Equity / stock options | 406 jobs Startup environment | 393 jobs Flex hours | 336 jobs Salary bonus | 309 jobs Flex vacation | 261 jobs Parental leave | 255 jobs Competitive pay | 251 jobs Medical leave | 235 jobs Team events | 223 jobs Insurance | 197 jobs 401(k) matching | 125 jobs Wellness | 125 jobs Home office stipend | 99 jobs Unlimited paid time off | 73 jobs Relocation support | 66 jobs Transparency | 63 jobs Gear | 53 jobs Fertility benefits | 45 jobs

Salary Composition

The salary for an Engineering Manager in AI/ML/Data Science typically comprises a base salary, bonuses, and additional remuneration such as stock options or equity. The base salary is often the largest component, accounting for 60-80% of the total compensation package. Bonuses, which can be performance-based or company-wide, usually make up 10-20%. Additional remuneration, such as stock options, equity, or other benefits, can vary significantly depending on the company size, industry, and region. For instance, tech companies in Silicon Valley might offer substantial equity packages, while companies in other regions might focus more on cash bonuses.

Steps to Increase Salary

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

• Skill Enhancement: Continuously update your technical and managerial skills. Specializing in emerging AI/ML technologies can make you more valuable.
• Networking: Build a strong professional network. Engaging with industry leaders and attending conferences can open up higher-paying opportunities.
• Leadership Roles: Aim for higher leadership roles such as Director of Engineering or VP of Engineering, which come with increased responsibilities and compensation.
• Industry Switch: Consider moving to industries that pay higher salaries for AI/ML expertise, such as finance or healthcare.
• Negotiation: Improve your negotiation skills to better advocate for higher pay during performance reviews or when switching jobs.

Educational Requirements

Most Engineering Manager roles in AI/ML/Data Science require at least a bachelor's degree in computer science, engineering, or a related field. However, a master's degree or Ph.D. in a specialized area of AI or data science can be highly advantageous and sometimes necessary for more senior positions. Advanced degrees often provide a deeper understanding of complex algorithms and data structures, which are crucial in this field.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile:

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

These certifications demonstrate a commitment to the field and a recognized level of expertise, which can be attractive to employers.

Required Experience

Typically, an Engineering Manager in AI/ML/Data Science is expected to have 5-10 years of experience in software engineering or data science roles. This experience should include a proven track record of managing teams, delivering projects, and a deep understanding of AI/ML technologies. Experience in leading cross-functional teams and working on large-scale projects is often highly valued.

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