AI Product Owner Salary in United States during 2024

Salary details

The average AI Product Owner salary lies between USD 110,000 and USD 125,000 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. 15, 2024

Top 20 Job Tags for AI Product Owner roles

The three most common job tag items assiciated with AI Product Owner job listings are Engineering, Agile and Machine Learning. 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 | 20 jobs Agile | 20 jobs Machine Learning | 18 jobs Computer Science | 12 jobs Research | 11 jobs Testing | 11 jobs Scrum | 10 jobs KPIs | 9 jobs NLP | 7 jobs Jira | 7 jobs Market research | 7 jobs Data analysis | 6 jobs GPT | 6 jobs Architecture | 5 jobs ChatGPT | 5 jobs LLMs | 5 jobs Generative AI | 5 jobs Power BI | 4 jobs Azure | 4 jobs Excel | 4 jobs

Top 20 Job Perks/Benefits for AI Product Owner roles

The three most common job benefits and perks assiciated with AI Product Owner job listings are Career development, Flex hours 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 | 20 jobs Flex hours | 7 jobs Startup environment | 6 jobs Team events | 5 jobs Health care | 4 jobs Competitive pay | 2 jobs Transparency | 2 jobs Insurance | 2 jobs Salary bonus | 2 jobs Equity / stock options | 1 jobs Flex vacation | 1 jobs Travel | 1 jobs Home office stipend | 1 jobs

Salary Composition

The salary for an AI Product Owner in the United States 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 majority of the total compensation package, ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company's performance and individual achievements, usually making up 10% to 20% of the total compensation. Additional remuneration, such as stock options, is more common in larger tech companies or startups and can account for 5% to 15% of the total package. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job markets. Industry variations are also notable, with tech and finance sectors typically offering higher compensation compared to healthcare or education.

Increasing Salary

To increase your salary from the AI Product Owner 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 technologies.
• Networking: Build a strong professional network within the AI/ML community. Attend industry conferences, webinars, and workshops to connect with peers and industry leaders.
• Leadership Roles: Aim for leadership positions within your organization or seek opportunities in larger companies where the scope of responsibility and compensation are greater.
• Cross-Industry Experience: Gain experience in different industries to broaden your expertise and increase your value to potential employers.
• Negotiation Skills: Improve your negotiation skills to better advocate for higher compensation during performance reviews or when switching jobs.

Educational Requirements

Most AI Product Owner positions require at least a bachelor's degree in a relevant field such as computer science, data science, engineering, or business administration. However, a master's degree or an MBA with a focus on technology management or data analytics can be highly advantageous and is often preferred by employers. A strong educational background in both technical and business disciplines is crucial, as the role requires a blend of technical understanding and strategic business acumen.

Helpful Certifications

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

• Certified Scrum Product Owner (CSPO): This certification is beneficial for understanding agile methodologies and product ownership.
• AWS Certified Machine Learning – Specialty: Useful for those working with cloud-based AI solutions.
• Google Professional Machine Learning Engineer: Demonstrates proficiency in designing and building machine learning models on Google Cloud.
• Data Science Certifications: Such as those offered by Coursera, edX, or DataCamp, which can bolster your data analysis and machine learning skills.

Experience Requirements

Typically, an AI Product Owner is expected to have 3 to 5 years of experience in product management, with a focus on AI/ML projects. Experience in leading cross-functional teams, managing product lifecycles, and working closely with data scientists and engineers is crucial. Prior experience in a related role, such as a data analyst or software engineer, can also be beneficial.

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