AI Product Manager

An AI Product Manager oversees the development and launch of artificial intelligence-based products, ensuring their alignment with customer needs and company goals, while facilitating effective communication between engineering, design, and business teams.
Salary Insights
High-ROI Certifications
Potential Lateral Jobs
Publications/ Groups

AI Product Manager

Glassdoor
Market
National (USA)
Base Salary
$135,153 / year
Satisfaction
Additional Benefits
Yes
Industry
All
Education
Master's Degree

The average salary for AI Product Manager is $135,153 / year according to Glassdoor.com

There are no updated reports for AI Product Manager salaries. You can check potential lateral job opportunities in this information stack to find related salary information.

AI Product Manager role may have an alternate title depending on the company. To find more information, you can check Glassdoor.com.

Career Information

As an AI Product Manager, you will be responsible for developing and managing AI-powered products. You will work closely with cross-functional teams to define product strategy, prioritize features, and drive product development. Strong knowledge of AI technologies and experience with product management are essential in this role.

The average salary for AI Product Manager is $135,153 / year according to Glassdoor.com
AI Disclaimer
The following text about the Job role of AI Product Manager has been generated by an AI model developed by Cohere. While efforts have been made to ensure the accuracy and coherence of the content, there is a possibility that the model may produce hallucinated or incorrect information. Therefore, we strongly recommend independently verifying any information provided in this text before making any decisions or taking any actions based on it.

As an AI Product Manager, you will be responsible for driving the development and implementation of new AI products and services. You will work with a team of engineers and data scientists to bring these products to market, and will be responsible for developing go-to-market strategies and working with sales and marketing teams to launch new products. You will also be responsible for working with customers and partners to gather feedback on products and identify areas for improvement.

AI Product Manager responsibilities include:

  • Identifying opportunities for the development and implementation of new AI products and services
  • Collaborating with a team of engineers and data scientists to bring these products to market
  • Developing go-to-market strategies and working with sales and marketing teams to create a plan for the launch of new products
  • Working with customers and partners to gather feedback on products and identify areas for improvement
  • Staying up-to-date on industry trends and emerging technologies

Here are some of the most important skills for an AI Product Manager:

  • Strong understanding of AI technologies and trends
  • Experience working with a team of engineers and data scientists to bring products to market
  • Ability to develop go-to-market strategies and work with sales and marketing teams to launch new products
  • Experience working with customers and partners to gather feedback on products
  • Strong communication and collaboration skills
  • Ability to stay up-to-date on industry trends and emerging technologies

It is important for an AI Product Manager to have a strong understanding of AI technologies and trends, as well as experience working with a team of engineers and data scientists to bring products to market. They should also have the ability to develop go-to-market strategies and work with sales and marketing teams to launch new products, as well as experience working with customers and partners to gather feedback on products.

A strong AI Product Manager should also have strong communication and collaboration skills, as well as the ability to stay up-to-date on industry trends and emerging technologies. They should be able to work effectively with a team of professionals and be able to prioritize tasks and manage their time efficiently.

Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.

High-ROI Programs

Most roles require at least a bachelor's degree. To remain competitive, job seekers should consider specialization or skill-specific programs such as specialization, bootcamps or certifications.
Certification Programs
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.

AWS Certified Machine Learning — Specialty Certification

MLS-C01

The AWS Certified Machine Learning - Specialty certification covers a wide range of topics, including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations on the AWS Cloud. 

Advanced
View More

Google Certified Professional Machine Learning Engineer

The Google Machine Learning Certification is a high-ROI program designed for ML engineers who want to gain specialized machine learning skills using Google Cloud technologies.

Advanced
View More

Microsoft Certified: Azure AI Engineer Associate

AI-102

The Azure AI Certification is a high-ROI program designed for professionals who are passionate about building, managing, and deploying AI solutions using Azure Cognitive Services and Azure services.

Intermediate
View More

AWS Certified Data Analytics — Specialty

DAS-C01

The AWS Data Analytics Certification program validates a deep understanding of AWS data analytics services and their integration with each other to derive insights from data, making it suitable for individuals pursuing a role focused on data analytics.

Advanced
View More

Microsoft Certified: Azure Enterprise Data Analyst Associate

DP-500

The Azure Data Analyst Certification is a high-ROI program designed for professionals who have expertise in designing, creating, and deploying enterprise-scale data analytics solutions.

Intermediate
View More
Specialty Courses improving
If you want to improve your skills and knowledge in a particular field, you should think about enrolling in a Nanodegree or specialization program. This can greatly improve your chances of finding a job and make you more competitive in the job market.

AI for Business Leaders

Executive Program

AI for Healthcare

Nanodegree

Practicing Machine Learning Interview Questions in Python

Practice

Data Storytelling and Visualisation

Executive Program

Chief Technology Officer Program

Executive Program

Mathematics for Machine Learning and Data Science Specialization

Specialization

How to Become a Robotics Engineer

Nanodegree

AI Programming with Python

Nanodegree

Introduction to Data Science

Specialization

Deep Learning Specialization

Specialization

IBM Data Analyst Professional Certificate

Professional

Genomic Data Science Specialization

Specialization

Expand Your Knowledge of Artificial Intelligence

Nanodegree

Computer Vision for Engineering and Science Specialization

Specialization

Image Processing for Engineering and Science Specialization

Specialization

Resource Stacks

We are soon crowdsourcing these resource stacks to collate the best resources, such as publications, community groups, job boards, etc., that are practically suitable for every contextual stack.
Publications
Discover the wide array of publications that professionals in this role actively engage with, expanding their knowledge and staying informed about the latest industry trends and developments.
Communities updating
Discover the thriving communities where professionals in this role come together to exchange knowledge, foster collaboration, and stay at the forefront of industry trends.
Research updating
We are currently in the process of updating contextual resources and we will be adding the new ones to the list shortly.
AI Disclosure: We are testing AI technologies to ensure the accuracy and coherence of recommendations. However, it is important to note that there is a possibility that the model may create hallucinated or incorrect inferences. Therefore, we highly recommend independently verifying any information provided in these stacks before making any decisions or taking any actions based on it.
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