Salary for Senior-level / Expert Engineering Manager during 2024

Salary details

The average senior-level / expert Engineering Manager salary lies between USD 183,600 and USD 294,000 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 Senior-level / Expert Engineering Manager roles

The three most common job tag items assiciated with senior-level / expert 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 | 421 jobs Machine Learning | 299 jobs Python | 277 jobs Computer Science | 261 jobs Architecture | 213 jobs Security | 207 jobs Java | 177 jobs AWS | 146 jobs Pipelines | 133 jobs GCP | 122 jobs SQL | 114 jobs Agile | 114 jobs Testing | 108 jobs Azure | 107 jobs JavaScript | 97 jobs NLP | 93 jobs ML models | 87 jobs Data pipelines | 86 jobs Privacy | 85 jobs Spark | 84 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Engineering Manager roles

The three most common job benefits and perks assiciated with senior-level / expert Engineering Manager job listings are Career development, Health care and Startup environment. 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 | 350 jobs Health care | 156 jobs Startup environment | 150 jobs Equity / stock options | 136 jobs Medical leave | 116 jobs Salary bonus | 112 jobs Flex hours | 105 jobs Competitive pay | 102 jobs Flex vacation | 83 jobs Parental leave | 72 jobs Team events | 60 jobs Wellness | 57 jobs Insurance | 55 jobs 401(k) matching | 36 jobs Relocation support | 23 jobs Unlimited paid time off | 23 jobs Home office stipend | 21 jobs Transparency | 16 jobs Fertility benefits | 16 jobs Gear | 12 jobs

Salary Composition for Senior-level/Expert Engineering Manager in AI/ML/Data Science

The salary for a Senior-level or Expert Engineering Manager in AI/ML/Data Science typically comprises several components. The fixed base salary often constitutes the largest portion, ranging from 60% to 80% of the total compensation package. Bonuses, which can be performance-based or tied to company success, usually account for 10% to 20%. Additional remuneration may include stock options, especially in tech companies, which can significantly increase total earnings. The composition can vary depending on the region, industry, and company size. For instance, tech giants in Silicon Valley might offer substantial stock options, while companies in other regions might focus more on cash bonuses.

Steps to Increase Salary Further

To increase your salary beyond the median of USD 232,500, consider the following strategies:

• Expand Your Skill Set: Stay updated with the latest AI/ML technologies and methodologies. Specializing in emerging areas like deep learning, natural language processing, or AI ethics can make you more valuable.
• Leadership Development: Enhance your leadership skills through executive education programs or leadership workshops. Demonstrating strong leadership can position you for higher-level roles.
• Networking: Build a strong professional network within the AI/ML community. Networking can open doors to new opportunities and provide insights into higher-paying roles.
• Negotiate Effectively: When offered a new position or during performance reviews, negotiate for higher compensation by highlighting your achievements and market research.

Educational Requirements

Most Senior-level or Expert 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 strategic decision-making. Advanced degrees can provide a deeper understanding of AI/ML concepts and enhance your credibility.

Helpful Certifications

While not always mandatory, certain certifications can bolster 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

These certifications can validate your skills and knowledge, making you a more attractive candidate for senior roles.

Experience Requirements

Typically, a Senior-level or Expert Engineering Manager in AI/ML/Data Science is expected to have 10+ years of experience in the field. This includes hands-on experience with AI/ML projects, as well as several years in a managerial or leadership role. Experience in leading cross-functional teams, managing large-scale projects, and strategic planning is highly valued.

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