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 135,500 and USD 225,000 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: Nov. 17, 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 | 522 jobs Machine Learning | 361 jobs Research | 299 jobs Computer Science | 256 jobs Agile | 244 jobs SQL | 190 jobs Python | 184 jobs Generative AI | 158 jobs Data analysis | 135 jobs Architecture | 132 jobs Privacy | 126 jobs Security | 124 jobs LLMs | 123 jobs Testing | 117 jobs Data Analytics | 105 jobs R | 100 jobs Finance | 96 jobs KPIs | 95 jobs APIs | 87 jobs UX | 83 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 | 494 jobs Health care | 310 jobs Equity / stock options | 251 jobs Competitive pay | 207 jobs Startup environment | 197 jobs Flex hours | 181 jobs Salary bonus | 143 jobs Flex vacation | 140 jobs Insurance | 137 jobs Medical leave | 122 jobs Parental leave | 121 jobs Team events | 111 jobs 401(k) matching | 93 jobs Wellness | 92 jobs Transparency | 47 jobs Flexible spending account | 37 jobs Relocation support | 36 jobs Unlimited paid time off | 36 jobs Home office stipend | 32 jobs Conferences | 31 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.

Related salaries

Want to contribute?