Salary for Executive-level / Director Solutions Engineer during 2024

Salary details

The average executive-level / director Solutions Engineer salary lies between USD 190,000 and USD 297,000 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. 10, 2024

Top 20 Job Tags for Executive-level / Director Solutions Engineer roles

The three most common job tag items assiciated with executive-level / director Solutions Engineer job listings are Engineering, Python and Machine Learning. 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 | 5 jobs Python | 4 jobs Machine Learning | 4 jobs AWS | 4 jobs Architecture | 3 jobs Agile | 3 jobs Pipelines | 3 jobs Databricks | 3 jobs Computer Science | 3 jobs Data governance | 3 jobs Data Warehousing | 2 jobs ETL | 2 jobs Big Data | 2 jobs Spark | 2 jobs Redshift | 2 jobs Research | 2 jobs Distributed Systems | 2 jobs Business Intelligence | 2 jobs Azure | 2 jobs Feature engineering | 2 jobs

Top 20 Job Perks/Benefits for Executive-level / Director Solutions Engineer roles

The three most common job benefits and perks assiciated with executive-level / director Solutions Engineer 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 | 5 jobs Health care | 4 jobs Startup environment | 3 jobs Competitive pay | 3 jobs Equity / stock options | 2 jobs Salary bonus | 2 jobs 401(k) matching | 1 jobs Parental leave | 1 jobs Wellness | 1 jobs Gear | 1 jobs Transparency | 1 jobs Team events | 1 jobs Relocation support | 1 jobs Medical leave | 1 jobs Insurance | 1 jobs Unlimited paid time off | 1 jobs

Salary Composition

The salary for an Executive-level or Director Solutions Engineer 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 forms the largest portion, accounting for 60-70% of the total compensation package. Performance bonuses can range from 10-20%, depending on the company's profitability and individual performance metrics. Additional remuneration, such as stock options, can vary significantly based on the company's size and industry. For instance, tech giants and startups in Silicon Valley might offer substantial equity, while companies in other regions or industries might provide less. Larger companies often have more structured bonus and equity programs, while smaller companies might offer more flexibility but less predictability.

Increasing Salary

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

• Expand Your Skill Set: Continuously update your technical and managerial skills. Specializing in emerging technologies or methodologies can make you more valuable.
• Seek Leadership Roles: Transitioning into a VP or C-level position can significantly boost your salary. Demonstrating leadership in successful projects can pave the way for such promotions.
• Negotiate Equity: If you're in a startup or tech company, negotiating for more equity can be a lucrative move, especially if the company is poised for growth.
• Network Strategically: Building a strong professional network can open doors to higher-paying opportunities. Attend industry conferences and engage with thought leaders.
• Consider Consulting: Offering your expertise as a consultant can supplement your income and provide exposure to different industries and challenges.

Educational Requirements

Most executive-level positions in AI/ML/Data Science require at least a bachelor's degree in a related field such as Computer Science, Data Science, or Engineering. However, a master's degree or Ph.D. is often preferred, especially for roles that require deep technical expertise or research capabilities. An MBA can also be beneficial for those looking to emphasize their business acumen and leadership skills.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credibility and demonstrate your commitment to the field. Some valuable certifications include:

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

These certifications can help you stay current with industry standards and best practices.

Required Experience

Typically, candidates for this role have 10-15 years of experience in the tech industry, with a significant portion in AI/ML or data science. Experience in leading teams, managing large-scale projects, and developing innovative solutions is crucial. A proven track record of successful project delivery and strategic decision-making is often required.

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