Salary for Senior-level / Expert Product Manager in United States during 2024

Salary details

The average senior-level / expert Product Manager salary lies between USD 145,000 and USD 250,200 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: Jan. 19, 2025

Salary trend

Top 20 Job Tags for Senior-level / Expert Product Manager roles

The three most common job tag items assiciated with senior-level / expert 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 | 830 jobs Machine Learning | 676 jobs Research | 460 jobs Computer Science | 385 jobs Agile | 337 jobs Generative AI | 308 jobs SQL | 260 jobs LLMs | 228 jobs Privacy | 210 jobs Python | 199 jobs Testing | 187 jobs Architecture | 183 jobs Security | 179 jobs UX | 161 jobs Data Analytics | 159 jobs ML models | 158 jobs Data analysis | 151 jobs KPIs | 136 jobs Market research | 131 jobs AWS | 118 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Product Manager roles

The three most common job benefits and perks assiciated with senior-level / expert 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 | 798 jobs Health care | 490 jobs Equity / stock options | 486 jobs Competitive pay | 375 jobs Startup environment | 352 jobs Flex hours | 327 jobs Salary bonus | 319 jobs Flex vacation | 254 jobs Medical leave | 253 jobs Insurance | 244 jobs Team events | 225 jobs Parental leave | 221 jobs 401(k) matching | 164 jobs Wellness | 144 jobs Home office stipend | 74 jobs Transparency | 73 jobs Unlimited paid time off | 65 jobs Flexible spending account | 63 jobs Fitness / gym | 51 jobs Conferences | 40 jobs

Salary Composition for Senior-level/Expert Product Manager in AI/ML/Data Science

In the United States, the salary for a Senior-level or Expert Product Manager in AI/ML/Data Science 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 make up the remaining 10% to 20%, and this is more prevalent in larger tech companies or startups with high growth potential. The composition can vary by 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 proportion. Industry and company size also play a role; larger companies might offer more structured bonus plans, while startups might provide more equity.

Steps to Increase Salary from This Position

To increase your salary beyond the median of USD 194,000, consider the following strategies:

• Skill Enhancement: Continuously update your skills in AI/ML technologies and product management methodologies. This could involve learning new programming languages, understanding emerging AI trends, or mastering advanced data analytics tools.

• Leadership Roles: Seek opportunities to lead larger teams or more complex projects. Demonstrating leadership in high-impact projects can position you for promotions or salary negotiations.

• Networking and Industry Engagement: Engage with industry events, conferences, and professional groups. Networking can open doors to higher-paying opportunities and provide insights into industry salary trends.

• Negotiation Skills: Improve your negotiation skills to better advocate for salary increases during performance reviews or when transitioning to new roles.

• Advanced Education: Consider pursuing an MBA or a specialized master's degree in AI/ML, which can enhance your qualifications and justify a higher salary.

Educational Requirements

Most Senior-level or Expert 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 Administration. However, a master's degree or an MBA is often preferred, especially for senior positions. These advanced degrees can provide a deeper understanding of both technical and business aspects, which is crucial for product management in AI/ML.

Helpful Certifications

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 product management.
• Project Management Professional (PMP): Recognized for project management skills.
• AWS Certified Machine Learning – Specialty: Demonstrates expertise in machine learning on the AWS platform.
• Google Cloud Professional Data Engineer: Validates skills in designing and building data processing systems.

Experience Requirements

Typically, a Senior-level or Expert Product Manager in AI/ML/Data Science is expected to have 7-10 years of experience in product management or related fields. This experience should include a strong track record of managing successful products, preferably in the tech industry, and a deep understanding of AI/ML technologies. Experience in leading cross-functional teams and working in agile environments is also highly valued.

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