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

Salary details

The average senior-level / expert AI Product Manager salary lies between USD 159,000 and USD 242,400 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 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 for Senior AI Product Managers

The salary for a Senior AI Product Manager 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 achievements. Additional remuneration, such as stock options, can make up the remaining 10% to 20%, providing long-term incentives aligned with company growth.

Regional differences play a significant role in salary composition. For instance, in the United States, particularly in tech hubs like Silicon Valley, the base salary might be higher, but the cost of living is also elevated. In contrast, European companies might offer more balanced packages with a focus on work-life balance. Industry and company size also influence salary composition. Larger tech firms or those in high-demand sectors like finance or healthcare may offer more competitive packages, including substantial equity components.

Steps to Increase Salary Further

To increase your salary beyond the median for a Senior AI Product Manager, consider the following strategies:

• Specialize in High-Demand Areas: Focus on emerging technologies or niche areas within AI/ML that are in high demand, such as natural language processing or computer vision.
• Leadership and Management Skills: Enhance your leadership capabilities by taking on more significant responsibilities or leading larger teams, which can justify a higher salary.
• Networking and Industry Presence: Build a strong professional network and establish yourself as a thought leader in the AI/ML community through speaking engagements, publications, or active participation in industry events.
• Negotiation Skills: Improve your negotiation skills to better advocate for higher compensation during performance reviews or when switching jobs.

Educational Requirements

Most Senior AI Product Manager roles require at least a bachelor's degree in a relevant field such as computer science, engineering, or data science. However, a master's degree or an MBA can be advantageous, providing a deeper understanding of business strategy and technical expertise. Some roles may also value interdisciplinary studies that combine technology with business or psychology, reflecting the multifaceted nature of AI product management.

Helpful Certifications

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 methodologies and product ownership.
• Project Management Professional (PMP): Offers a strong foundation in project management principles.
• AI/ML Specializations: Certifications from platforms like Coursera or edX in AI/ML can provide technical insights and keep you updated with the latest advancements.

Required Experience

Typically, a Senior AI Product Manager is expected to have 7-10 years of experience in product management, with a significant portion of that time spent in AI/ML or related fields. Experience in leading cross-functional teams, managing complex projects, and delivering successful AI products is crucial. Prior experience in a technical role, such as a data scientist or software engineer, can also be beneficial, providing a solid technical foundation.

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