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

Salary details

The average mid-level / intermediate AI Product Manager salary lies between USD 148,600 and USD 238,600 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. 15, 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 for a Mid-level AI Product Manager

The salary for a Mid-level 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 be a significant part of the package in startups or large tech firms, potentially making up 10% to 20% of the total compensation.

Regional differences also play a crucial role. For instance, salaries in tech hubs like San Francisco or New York are generally higher than in other regions due to the cost of living and competitive job markets. Industry-wise, tech companies, especially those focused on AI and machine learning, tend to offer higher salaries compared to other sectors. Company size can also influence salary composition, with larger companies often providing more comprehensive benefits and stock options.

Steps to Increase Salary from This Position

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. This could involve taking advanced courses or obtaining certifications in emerging AI technologies.
• Networking: Build a strong professional network within the AI/ML community. Attend industry conferences, webinars, and workshops to connect with leaders and peers.
• Leadership Roles: Seek opportunities to lead projects or teams. Demonstrating leadership capabilities can position you for promotions and salary increases.
• Negotiation Skills: Improve your negotiation skills to effectively discuss salary and benefits during performance reviews or when considering new job offers.
• Industry Transition: Consider transitioning to industries that offer higher compensation for AI Product Managers, such as finance or healthcare.

Educational Requirements

Most Mid-level AI Product Manager positions require a bachelor's degree in a relevant field such as computer science, engineering, data science, or business administration. However, a master's degree, particularly an MBA or a specialized degree in data science or AI, can be advantageous and sometimes preferred by employers. A strong educational background in both technical and business aspects is crucial for understanding and managing AI products effectively.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise in AI and product management. Some valuable certifications include:

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

Required Experience

Typically, a Mid-level AI Product Manager is expected to have 3 to 5 years of experience in product management, with a focus on AI or data-driven products. Experience in leading cross-functional teams, managing product lifecycles, and working closely with data scientists and engineers is often required. Prior experience in a related technical role, such as a data analyst or software engineer, can also be advantageous.

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