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

Salary details

The average mid-level / intermediate Product Manager salary lies between USD 131,805 and USD 219,000 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 Product Manager roles

The three most common job tag items assiciated with mid-level / intermediate 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 | 606 jobs Machine Learning | 427 jobs Research | 353 jobs Computer Science | 298 jobs Agile | 279 jobs SQL | 229 jobs Python | 222 jobs Generative AI | 187 jobs Data analysis | 166 jobs Architecture | 152 jobs Privacy | 147 jobs LLMs | 142 jobs Testing | 138 jobs Security | 131 jobs Data Analytics | 127 jobs R | 123 jobs Finance | 116 jobs KPIs | 114 jobs Market research | 102 jobs APIs | 101 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Product Manager job listings are Career development, Health care 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 | 578 jobs Health care | 360 jobs Equity / stock options | 287 jobs Competitive pay | 243 jobs Startup environment | 236 jobs Flex hours | 210 jobs Salary bonus | 167 jobs Flex vacation | 158 jobs Insurance | 156 jobs Medical leave | 142 jobs Parental leave | 139 jobs Team events | 134 jobs Wellness | 105 jobs 401(k) matching | 102 jobs Transparency | 53 jobs Relocation support | 41 jobs Flexible spending account | 41 jobs Home office stipend | 40 jobs Unlimited paid time off | 39 jobs Conferences | 37 jobs

Salary Composition

In the United States, the salary composition for a mid-level/intermediate Product Manager in AI/ML/Data Science typically includes a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary often constitutes the majority of the total compensation package, ranging from 60% to 80%. Performance bonuses can vary significantly, often comprising 10% to 20% of the total compensation, 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, and may account for 10% to 20% of the total compensation. The exact composition can vary based on the region, with tech hubs like Silicon Valley offering higher equity components, and the industry, with tech and finance sectors typically providing more lucrative packages. Company size also plays a role, with larger companies often offering more structured bonus and equity plans.

Increasing Salary

To increase your salary from this position, consider the following steps:

• Skill Enhancement: Continuously upgrade your skills in AI/ML and data science. This could involve learning new programming languages, mastering advanced data analytics tools, or gaining expertise in emerging AI technologies.

• Networking: Build a strong professional network within the AI/ML community. Attend industry conferences, participate in webinars, and engage with online forums to connect with industry leaders and peers.

• Leadership Roles: Seek opportunities to lead projects or teams. Demonstrating leadership capabilities can position you for promotions and salary increases.

• Advanced Education: Consider pursuing an advanced degree, such as an MBA or a specialized master's in data science or AI, to enhance your qualifications and open up higher-level opportunities.

• Negotiation: When discussing salary, be prepared to negotiate. Research industry standards and be ready to articulate your value to the company.

Educational Requirements

Most mid-level/intermediate Product Manager roles in AI/ML/Data Science require at least a bachelor's degree in a relevant field such as computer science, engineering, data science, or business. However, many employers prefer candidates with a master's degree, particularly in technical fields or business administration, as it demonstrates a deeper understanding of the industry and the technical aspects of AI/ML.

Helpful Certificates

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

• Certified Scrum Product Owner (CSPO): Useful for understanding agile methodologies and product management principles.
• Google Cloud Professional Data Engineer: Demonstrates expertise in data engineering and cloud-based solutions.
• AWS Certified Machine Learning – Specialty: Validates your ability to design, implement, and maintain machine learning solutions on AWS.
• Coursera or edX AI/ML Specializations: These can provide a solid foundation in AI/ML concepts and applications.

Required Experience

Typically, a mid-level/intermediate Product Manager in AI/ML/Data Science is expected to have 3 to 5 years of experience in product management or a related field. Experience in AI/ML projects, data analysis, or software development is highly valued. Additionally, experience working in cross-functional teams and a proven track record of successfully launching products are often required.

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