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: Dec. 22, 2024

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 | 815 jobs Machine Learning | 664 jobs Research | 457 jobs Computer Science | 382 jobs Agile | 333 jobs Generative AI | 302 jobs SQL | 254 jobs LLMs | 225 jobs Privacy | 207 jobs Python | 196 jobs Testing | 183 jobs Architecture | 182 jobs Security | 177 jobs UX | 158 jobs Data Analytics | 155 jobs ML models | 153 jobs Data analysis | 148 jobs KPIs | 135 jobs Market research | 133 jobs AWS | 117 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 | 782 jobs Health care | 483 jobs Equity / stock options | 481 jobs Competitive pay | 373 jobs Startup environment | 346 jobs Flex hours | 323 jobs Salary bonus | 314 jobs Flex vacation | 252 jobs Medical leave | 248 jobs Insurance | 239 jobs Team events | 220 jobs Parental leave | 216 jobs 401(k) matching | 163 jobs Wellness | 144 jobs Home office stipend | 72 jobs Transparency | 70 jobs Unlimited paid time off | 64 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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