Salary for Senior-level / Expert AI Product Manager in United States during 2024

Salary details

The average senior-level / expert AI Product Manager salary lies between USD 159,000 and USD 242,400 in the United States. 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.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). 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 AI Product Manager roles

The three most common job tag items assiciated with senior-level / expert AI Product Manager job listings are Machine Learning, Engineering and Computer Science. 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:

Machine Learning | 35 jobs Engineering | 26 jobs Computer Science | 20 jobs Generative AI | 19 jobs Research | 16 jobs LLMs | 12 jobs KPIs | 9 jobs Architecture | 8 jobs Testing | 7 jobs Privacy | 7 jobs Agile | 6 jobs Data analysis | 6 jobs APIs | 6 jobs Python | 5 jobs NLP | 5 jobs SQL | 5 jobs Banking | 5 jobs Security | 5 jobs UX | 5 jobs AI strategy | 5 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert AI Product Manager job listings are Career development, Startup environment 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 | 29 jobs Startup environment | 17 jobs Equity / stock options | 16 jobs Health care | 16 jobs Competitive pay | 13 jobs Team events | 13 jobs Flex hours | 7 jobs Unlimited paid time off | 6 jobs Medical leave | 4 jobs Flex vacation | 3 jobs Salary bonus | 3 jobs 401(k) matching | 2 jobs Transparency | 2 jobs Conferences | 2 jobs Relocation support | 2 jobs Snacks / Drinks | 2 jobs Insurance | 2 jobs Pet friendly | 2 jobs Home office stipend | 2 jobs Lunch / meals | 1 jobs

Salary Composition

In the United States, the salary composition for a Senior-level or Expert AI Product Manager typically includes a combination of base salary, bonuses, and additional remuneration such as stock options or equity. The 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, such as stock options, equity, or other benefits, can make up the remaining 10% to 20%. The exact composition can vary significantly depending on the region, industry, and company size. For instance, tech companies in Silicon Valley might offer higher equity components, while companies in other regions might focus more on cash bonuses.

Increasing Salary Further

To increase your salary beyond the median of USD 204,500, consider the following strategies:

• Specialization: Develop expertise in a niche area of AI/ML that is in high demand but has a limited talent pool.
• Leadership Roles: Aim for leadership positions such as Head of AI/ML or Chief Product Officer, which typically offer higher compensation.
• Networking: Build a strong professional network to access opportunities in high-paying companies or industries.
• Continuous Learning: Stay updated with the latest trends and technologies in AI/ML to maintain a competitive edge.
• Negotiation Skills: Enhance your negotiation skills to better advocate for higher compensation during job offers or performance reviews.

Educational Requirements

Most Senior-level AI Product Manager positions require at least a bachelor's degree in a relevant field such as Computer Science, Engineering, Data Science, or Business Administration. However, a master's degree or an MBA with a focus on technology management or data analytics is often preferred. Some roles may also require a strong technical background, so coursework or experience in AI/ML, data analysis, or software development can be advantageous.

Helpful Certificates

While not always mandatory, certain certifications can enhance your qualifications and demonstrate your commitment to the field:

• Certified Scrum Product Owner (CSPO): Useful for understanding agile product management.
• Project Management Professional (PMP): Beneficial for managing complex projects.
• AWS Certified Machine Learning – Specialty: Demonstrates expertise in deploying machine learning models on AWS.
• Google Cloud Professional Data Engineer: Validates skills in designing and managing data processing systems.

Required Experience

Typically, a Senior-level AI Product Manager is expected to have 7 to 10 years of experience in product management, with a significant portion of that time spent in AI/ML or data-driven environments. Experience in leading cross-functional teams, managing product lifecycles, and delivering successful AI/ML products is crucial. Additionally, a proven track record of strategic thinking and problem-solving in complex technical domains is often required.

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