AI Product Manager Salary in United States during 2024

Salary details

The average AI Product Manager salary lies between USD 159,000 and USD 238,600 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. 15, 2024

Top 20 Job Tags for AI Product Manager roles

The three most common job tag items assiciated with AI Product Manager job listings are Machine Learning, Engineering and Generative AI. 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 | 84 jobs Engineering | 79 jobs Generative AI | 49 jobs Research | 45 jobs Computer Science | 40 jobs Agile | 38 jobs LLMs | 31 jobs Architecture | 29 jobs KPIs | 29 jobs Security | 27 jobs Privacy | 26 jobs Testing | 22 jobs Banking | 21 jobs ML models | 21 jobs AWS | 19 jobs Python | 17 jobs Consulting | 15 jobs Excel | 14 jobs Data analysis | 14 jobs Jira | 14 jobs

Top 20 Job Perks/Benefits for AI Product Manager roles

The three most common job benefits and perks assiciated with AI Product Manager job listings are Career development, Health care and Competitive pay. 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 | 85 jobs Health care | 54 jobs Competitive pay | 45 jobs Startup environment | 40 jobs Equity / stock options | 31 jobs Flex hours | 26 jobs Wellness | 21 jobs Team events | 17 jobs Medical leave | 13 jobs Parental leave | 10 jobs Insurance | 10 jobs Unlimited paid time off | 10 jobs Flex vacation | 9 jobs Transparency | 9 jobs Relocation support | 9 jobs Salary bonus | 8 jobs Snacks / Drinks | 6 jobs Home office stipend | 6 jobs 401(k) matching | 5 jobs Conferences | 3 jobs

Salary Composition for AI Product Managers

The salary for an AI Product Manager in the United States typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is often the largest component, accounting for approximately 60-70% of the total compensation package. Performance bonuses can vary significantly, ranging from 10-20% of the base salary, depending on the company's performance and individual achievements. Additional remuneration, such as stock options, can be a significant part of the package, particularly in startups or large tech firms, where it might constitute 10-30% of the total compensation. The composition can vary based on the region, with tech hubs like Silicon Valley offering higher equity components, while regions with a lower cost of living might offer a higher base salary. Industry and company size also play a role; larger companies or those in highly competitive industries may offer more substantial bonuses and equity to attract top talent.

Steps to Increase Salary

To increase your salary further from the position of an AI Product Manager, consider the following strategies:

• Skill Enhancement: Continuously update your skills in AI/ML technologies and product management methodologies. This can make you more valuable to your current employer or attractive to potential employers.
• Networking: Build a strong professional network within the AI/ML community. Networking can open up opportunities for higher-paying positions or roles with more responsibility.
• Leadership Roles: Seek opportunities to take on leadership roles within your organization. Demonstrating your ability to lead teams and projects can position you for promotions and salary increases.
• Industry Transition: Consider transitioning to industries that offer higher compensation for AI Product Managers, such as finance or healthcare.
• Negotiation: Improve your negotiation skills to better advocate for salary increases during performance reviews or when offered a new position.

Educational Requirements

Most AI Product Manager positions require at least a bachelor's degree in a relevant field such as computer science, engineering, data science, or business. However, a master's degree or an MBA can be advantageous, particularly for roles that require a deep understanding of both technical and business aspects. Some positions may also value interdisciplinary studies that combine technology with business or design.

Helpful Certifications

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

• 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 building data processing systems.

Experience Requirements

Typically, AI Product Manager roles require 3-5 years of experience in product management, with a focus on AI/ML products. Experience in related fields such as data science, software development, or business analysis can also be valuable. Demonstrated experience in leading cross-functional teams and successfully launching AI/ML products is often a key requirement.

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