Salary for Mid-level / Intermediate AI Product Manager in United States during 2024

Salary details

The average mid-level / intermediate AI Product Manager salary lies between USD 113,000 and USD 225,600 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. 22, 2024

Top 20 Job Tags for Mid-level / Intermediate AI Product Manager roles

The three most common job tag items assiciated with mid-level / intermediate AI Product Manager job listings are Engineering, Machine Learning and Research. 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 | 44 jobs Machine Learning | 34 jobs Research | 29 jobs Generative AI | 29 jobs Agile | 22 jobs Computer Science | 20 jobs KPIs | 19 jobs LLMs | 13 jobs Market research | 12 jobs Python | 11 jobs Testing | 11 jobs Privacy | 11 jobs ML models | 10 jobs AWS | 9 jobs SQL | 8 jobs Data Analytics | 8 jobs Finance | 8 jobs Security | 8 jobs Data analysis | 8 jobs NLP | 7 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate AI Product Manager roles

The three most common job benefits and perks assiciated with mid-level / intermediate AI Product 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 | 43 jobs Health care | 24 jobs Startup environment | 22 jobs Flex hours | 19 jobs Competitive pay | 18 jobs Equity / stock options | 13 jobs Parental leave | 9 jobs Medical leave | 9 jobs Insurance | 8 jobs Wellness | 7 jobs Relocation support | 7 jobs Flex vacation | 6 jobs Salary bonus | 5 jobs Transparency | 4 jobs Team events | 4 jobs Snacks / Drinks | 4 jobs Home office stipend | 4 jobs Unlimited paid time off | 4 jobs 401(k) matching | 3 jobs Yoga | 2 jobs

Salary Composition

The salary for a Mid-level 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 the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly based on individual and company performance, often ranging from 10% to 20% of the base salary. Additional remuneration, like stock options, is more common in larger tech companies or startups and can be a significant part of the total compensation, especially in high-growth industries. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job market.

Increasing Salary

To increase your salary from a Mid-level AI Product Manager position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in AI/ML technologies and product management methodologies. Specializing in a niche area can make you more valuable.
• Networking: Build a strong professional network within the AI/ML community. This can open up opportunities for higher-paying roles.
• Advanced Education: Pursue further education, such as an MBA or a specialized master's degree in AI or data science, to enhance your qualifications.
• Leadership Roles: Aim for leadership positions within your organization or in a new company, such as Senior Product Manager or Director of Product Management.
• Industry Transition: Consider moving to industries that pay higher salaries for AI expertise, such as finance or healthcare.

Educational Requirements

Most Mid-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. However, a master's degree or an MBA can be advantageous and is often preferred by employers, especially for those aiming to move into senior roles. A strong understanding of AI/ML concepts and product management principles is essential.

Helpful Certifications

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

• Certified Scrum Product Owner (CSPO): Useful for understanding agile product management.
• AI/ML Certifications: Offered by platforms like Coursera, edX, or Udacity, these can provide a solid foundation in AI/ML.
• Project Management Professional (PMP): Beneficial for managing complex projects and teams.

Experience Requirements

Typically, a Mid-level AI Product Manager should have 3-5 years of experience in product management, with a focus on AI/ML products. Experience in related roles such as data analysis, software development, or project management can also be valuable. Demonstrated success in launching and managing AI-driven products is often a key requirement.

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