Salary for Entry-level / Junior Product Manager in United States during 2024

Salary details

The average entry-level / junior Product Manager salary lies between USD 67,000 and USD 141,300 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 Entry-level / Junior Product Manager roles

The three most common job tag items assiciated with entry-level / junior Product Manager job listings are Engineering, Python and Computer Science. 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 | 21 jobs Python | 16 jobs Computer Science | 16 jobs SQL | 14 jobs Machine Learning | 13 jobs Research | 12 jobs Statistics | 10 jobs R | 9 jobs Agile | 9 jobs UX | 7 jobs Scrum | 6 jobs Testing | 6 jobs Architecture | 6 jobs Excel | 6 jobs LLMs | 6 jobs Big Data | 5 jobs Data analysis | 5 jobs Generative AI | 5 jobs Computer Vision | 4 jobs Open Source | 4 jobs

Top 20 Job Perks/Benefits for Entry-level / Junior Product Manager roles

The three most common job benefits and perks assiciated with entry-level / junior Product Manager job listings are Career development, Health care and Flex hours. 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 | 23 jobs Health care | 13 jobs Flex hours | 12 jobs Equity / stock options | 11 jobs Team events | 10 jobs Medical leave | 10 jobs Parental leave | 8 jobs Flex vacation | 7 jobs Insurance | 7 jobs Competitive pay | 6 jobs Salary bonus | 6 jobs 401(k) matching | 5 jobs Flexible spending account | 5 jobs Startup environment | 4 jobs Wellness | 3 jobs Snacks / Drinks | 2 jobs Gear | 1 jobs Fitness / gym | 1 jobs Transparency | 1 jobs Conferences | 1 jobs

Salary Composition

In the United States, the salary composition for an entry-level or junior product manager in AI/ML/Data Science typically includes a base salary, performance bonuses, and sometimes additional remuneration such as stock options or equity, especially in tech companies. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's performance and individual achievements, often ranging from 5% to 20% of the base salary. Additional remuneration like stock options is more common in larger tech companies or startups, where they are used as an incentive to align employee interests with company growth. 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 market. Industry variations exist as well, with tech and finance sectors typically offering higher compensation packages compared to other industries.

Increasing Salary

To increase your salary from an entry-level position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your skills in AI/ML and data science. This could involve learning new programming languages, mastering data analysis tools, or gaining expertise in machine learning frameworks.
• Advanced Education: Pursuing further education, such as a master's degree or specialized certifications, can make you more valuable to employers.
• Networking: Build a strong professional network within the industry. Attend conferences, join relevant online communities, and connect with industry leaders on platforms like LinkedIn.
• Performance Excellence: Consistently exceed performance expectations in your current role. Demonstrating your ability to deliver results can lead to promotions and salary increases.
• Negotiation Skills: Develop strong negotiation skills to effectively advocate for higher compensation during performance reviews or when considering new job offers.

Educational Requirements

Most entry-level product manager positions in AI/ML/Data Science require at least a bachelor's degree in a relevant field such as computer science, data science, engineering, or business. Some employers may prefer candidates with a master's degree, especially in more technical roles. A strong foundation in mathematics, statistics, and programming is often essential, as these skills are critical for understanding and managing AI/ML projects.

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): Useful for understanding agile product management practices.
• Google Cloud Professional Data Engineer: Demonstrates proficiency in designing and managing data solutions on Google Cloud.
• AWS Certified Machine Learning – Specialty: Validates expertise in building, training, and deploying machine learning models on AWS.
• Microsoft Certified: Azure AI Engineer Associate: Shows capability in using Azure AI services to build and integrate AI solutions.

Experience Requirements

For an entry-level position, employers typically look for candidates with some relevant experience, which can be gained through internships, co-op programs, or project work during your studies. Experience in product management, even in a different industry, can be beneficial. Familiarity with AI/ML concepts and tools, as well as experience working in cross-functional teams, is often expected.

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