AI Product Owner Salary in 2024

Salary details

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

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 AI Product Owner roles

The three most common job tag items assiciated with AI Product Owner job listings are Agile, Engineering 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:

Agile | 17 jobs Engineering | 16 jobs Machine Learning | 14 jobs Research | 10 jobs Testing | 10 jobs Computer Science | 10 jobs Scrum | 9 jobs KPIs | 9 jobs NLP | 7 jobs Data analysis | 6 jobs Market research | 6 jobs Jira | 5 jobs ChatGPT | 5 jobs GPT | 5 jobs Power BI | 4 jobs Azure | 4 jobs Excel | 4 jobs DevOps | 4 jobs LLMs | 4 jobs Privacy | 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 | 15 jobs Flex hours | 6 jobs Startup environment | 5 jobs Transparency | 2 jobs Team events | 2 jobs Insurance | 2 jobs Salary bonus | 2 jobs Equity / stock options | 1 jobs Flex vacation | 1 jobs Health care | 1 jobs Competitive pay | 1 jobs

Salary Composition for AI Product Owners

The salary composition for an AI Product Owner can vary significantly based on factors such as region, industry, and company size. Typically, the salary is divided into three main components: a fixed base salary, a performance-based bonus, and additional remuneration such as stock options or benefits.

• Fixed Base Salary: This is the guaranteed annual income and usually forms the largest portion of the total compensation package. In regions with a high cost of living, such as the San Francisco Bay Area or New York City, the base salary tends to be higher to compensate for living expenses.

• Performance-Based Bonus: Bonuses are often tied to individual performance, team performance, or company-wide success metrics. In tech-heavy industries, bonuses can be a significant part of the compensation, sometimes ranging from 10% to 20% of the base salary.

• Additional Remuneration: This can include stock options, especially in startups or tech companies, as well as benefits like health insurance, retirement plans, and other perks. Larger companies might offer more comprehensive benefits packages, while startups might offer more equity.

Steps to Increase Salary from an AI Product Owner Position

To increase your salary from an 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 other professionals and learn about new opportunities.

• Leadership Roles: Aim for leadership roles within your organization or in new opportunities. Positions such as Senior Product Owner, Product Manager, or Head of Product can offer higher salaries.

• Industry Transition: Consider transitioning to industries that offer higher compensation for AI roles, such as finance, healthcare, or autonomous vehicles.

Educational Requirements for AI Product Owners

Most AI Product Owner positions require a strong educational background in a relevant field. Common educational requirements include:

• Bachelor’s Degree: A degree in computer science, engineering, data science, or a related field is often required. This provides a solid foundation in technical skills and problem-solving.

• Master’s Degree: Many employers prefer candidates with a master’s degree in business administration (MBA), data science, or a related field, as it demonstrates advanced knowledge and leadership potential.

Helpful Certifications for AI Product Owners

While not always mandatory, certain certifications can enhance your qualifications and make you more competitive in the job market:

• Certified Scrum Product Owner (CSPO): This certification is valuable for understanding agile methodologies and product ownership.

• AI/ML Certifications: Certifications from platforms like Coursera, edX, or Udacity in AI/ML can demonstrate your technical expertise.

• Project Management Professional (PMP): This certification can be beneficial for managing complex projects and teams.

Experience Required for AI Product Owners

Experience requirements for AI Product Owners typically include:

• Technical Experience: A background in AI/ML, data science, or software development is often required. This could involve several years of experience working on AI projects or in a technical role.

• Product Management Experience: Experience in product management, especially in tech or AI-related products, is crucial. This includes experience in defining product strategy, managing product lifecycles, and working with cross-functional teams.

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