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.
Potential Lateral Jobs
AI Product Manager
$135,153 / year
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.
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 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.
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.
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.
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.
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.
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.
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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.
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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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