26,000+ Ai Product Manager jobs in Worldwide

Details on leading high-impact projects or your role in successful product launches are specifics that highlight your expertise. Project management experience is key, as is experience working cross-functionally with teams such as engineering, data science, and sales. Look for experience in AI technology, machine learning, data analysis, and software development. They should also have strong technical skills and a solid understanding of machine learning, data analytics, and cloud platforms.

Product Manager, Mobile

Our engineering team — and broader workforce — is deeply knowledgeable in AI. Our CEO, who teaches Deep Learning as an Adjunct Lecturer at Stanford, brings academic depth to our AI-first culture. We’re seeking a forward-thinking Product Manager to lead our AI design systems initiatives for the Salesforce Lightning Design System 2 (SLDS 2).

Do AI Product Managers need a degree?

• Their ability to interpret complex data, define strategic visions, and manage diverse teams sets the foundation for innovation and competitive advantage in the AI industry.
• Others may require a bachelor’s degree in their particular field, such as engineering, information technology, or computer science.
• Employers want to see your ability to deliver AI products that solve real-world problems.
• In any case, customer interactions and the user experience help senior product managers make more effective decisions throughout the product line lifecycle.
• They are responsible for monitoring the performance of their AI product and making necessary adjustments based on customer feedback and market trends.
• No product manager hopes to build artificial intelligence technology or AI-based products and solutions on their own.
• All product managers need to have a deep understanding of the products they’re managing.

You may also need to analyze historical data like development costs and performance metrics. ML is a process that allows computers to learn without specific programming or creating detailed instructions for computers to follow. It gives a machine the capability to imitate intelligent human behavior by supplying data, such as numbers, photos, or text. The data the computer receives helps train it to Line code find patterns and make predictions. LinkedIn data indicates that job postings mentioning AI or generative AI more than doubled worldwide between July 2021 and July 2023.

• Product managers often find themselves having to solve a range of complex problems that present themselves in cross-functional teams.
• As the product manager, you’ll be the first person the engineering and development teams turn to when they need assistance.
• You must look at your list of tasks and make use of your own insightful and dynamic thinking abilities.
• In this article, you will learn about the main responsibilities, challenges, and skills of a senior product manager.
• That’s why product professionals must never settle with the skills they have or feel like they’ve seen and done it all.
• Include examples of how you have managed AI projects from conception to launch.

Product Owner, Digital Experiences

They are the visionary leaders who define the product strategy, drive innovation, and collaborate with cross-functional teams to bring products to life. These skills are crucial in helping you to lead your product team and ensure that your product is a management success. Be sure to include the work you do in a portfolio that showcases your capabilities. If you can’t work with an AI product team, then plan out the design, development, and launch of your trial AI practice project.

AI Product Managers work closely with cross-functional teams including data scientists, engineers, marketers, and salespeople to translate business objectives into detailed product requirements. Educational courses and programs assist you with developing your strategic thinking Senior Product Manager (AI product) job and risk management skills. Don’t be afraid to take steps to improve your strategic abilities on your own. Try to get into the habit of thinking ahead in the product lifecycle and imagining possible problems that appear. As the product manager, you play an essential role when things go wrong with your AI product. You must use strategic thinking to adapt your approach and meet the changes and challenges of the continuous learning process head-on.

You don’t need to include all these skills, just those that match your strengths and the job you want. Make sure to place them in a dedicated skills section on your resume to help pass through Applicant Tracking Systems (ATS) that scan for relevant keywords. It’s about shaping the future of artificial intelligence, one product at a time. They should also have demonstrated an ability to lead and implement AI-driven projects successfully.

Senior Product Manager (AI-Driven Security Insights)

Alternatively, data gathered by the product marketing team supports the senior product manager in his or her analyses. As you apply for a product manager role in AI, showing your impact with numbers is key. Numbers help hiring managers see the clear benefits you brought to your past teams and projects. Here are ways you can think through your experience to estimate and present these metrics. Explain how you have led cross-functional teams to drive AI product development.