Product Designer Salary in United States during 2024

Salary details

The average Product Designer salary lies between USD 110,000 and USD 177,000 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 Product Designer roles

The three most common job tag items assiciated with Product Designer job listings are Research, UX and Engineering. 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:

Research | 91 jobs UX | 84 jobs Engineering | 66 jobs Testing | 51 jobs Machine Learning | 49 jobs Generative AI | 43 jobs LLMs | 41 jobs Prototyping | 39 jobs Security | 21 jobs Privacy | 20 jobs Agile | 18 jobs Computer Science | 16 jobs Excel | 15 jobs Data visualization | 13 jobs Architecture | 12 jobs GPT | 12 jobs React | 11 jobs OpenAI | 10 jobs SQL | 9 jobs CX | 9 jobs

Top 20 Job Perks/Benefits for Product Designer roles

The three most common job benefits and perks assiciated with Product Designer 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 | 95 jobs Health care | 56 jobs Equity / stock options | 54 jobs Flex hours | 49 jobs Flex vacation | 38 jobs Startup environment | 37 jobs Parental leave | 34 jobs Salary bonus | 33 jobs Competitive pay | 27 jobs Medical leave | 27 jobs Home office stipend | 26 jobs 401(k) matching | 19 jobs Wellness | 18 jobs Insurance | 17 jobs Team events | 13 jobs Transparency | 9 jobs Fitness / gym | 8 jobs Flexible spending account | 8 jobs Gear | 6 jobs Unlimited paid time off | 6 jobs

Salary Composition for AI/ML/Data Science Product Designers

In the United States, the salary composition for a Product Designer in AI/ML/Data Science typically includes a base salary, performance bonuses, and 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 success and individual performance, often ranging from 10% to 20% of the base salary. Additional remuneration, like stock options, is more common in larger tech companies or startups and can be a significant part of the total compensation, especially in regions like Silicon Valley. In smaller companies or non-tech industries, the compensation might lean more heavily on the base salary with fewer bonuses or stock options.

Steps to Increase Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in AI/ML technologies and tools. Specializing in emerging areas like generative AI or machine learning operations (MLOps) can make you more valuable.
• Advanced Education: Pursuing a master's degree or relevant certifications can enhance your qualifications and bargaining power.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms like LinkedIn to learn about new opportunities and trends.
• Leadership Roles: Aim for leadership or managerial roles within your team or company, as these positions typically offer higher salaries.
• Company Switch: Sometimes, moving to a different company, especially a larger one or a startup with high growth potential, can result in a significant salary increase.

Educational Requirements

Most companies require a bachelor's degree in design, computer science, human-computer interaction, or a related field for a Product Designer role in AI/ML/Data Science. However, a master's degree can be advantageous and is sometimes preferred, especially for roles that require a deeper understanding of AI/ML technologies. Courses in data science, machine learning, and user experience design are particularly beneficial.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile:

• Certified Usability Analyst (CUA): Focuses on user experience and usability, which are crucial for product design.
• Google UX Design Professional Certificate: Offers a comprehensive understanding of UX design principles.
• AI/ML Certifications: Certifications from platforms like Coursera, edX, or Udacity in AI/ML can demonstrate your technical proficiency.

Experience Requirements

Typically, companies look for candidates with 3-5 years of experience in product design, with a focus on AI/ML or data-driven products. Experience in designing user interfaces and user experiences for complex systems is highly valued. Additionally, familiarity with AI/ML concepts and the ability to collaborate with data scientists and engineers is crucial.

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