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Home » AI » How to Become an AI Product Manager?

How to Become an AI Product Manager?

An AI Product Manager is a professional who oversees the development and deployment of AI-powered products and services. This article will provide a comprehensive guide on how to become an AI Product Manager.

saumya-sumu by Saumya Sumu
Thursday, 10 October 2024, 2:42 AM
in AI
How to Become an AI Product Manager

How to Become an AI Product Manager?

The artificial intelligence (AI) market is a billion-dollar market expected to grow beyond $1.8 trillion by 2030. As a result, everyone is trying to take advantage of this dynamic and lucrative industry. Companies are trying to expand their services and increase their AI offerings. At the same time, employees are upskilling and trying to transition into AI-related roles. 

One of the most in-demand and lucrative careers in the artificial intelligence industry is that of an AI Product Manager. If you are interested in becoming an AI product manager, there are specific steps you can take to break into this competitive field. 

This article will provide a comprehensive guide on how to become an AI Product Manager. 

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What is an AI Product Manager?

An AI Product Manager is a professional who oversees the development and deployment of AI-powered products and services. They are the bridge between the business side and the technical side of AI, ensuring that the products meet the needs of both customers and stakeholders.

The primary role of an AI product manager is to make sure that the AI product aligns with the company’s overall business objectives and meets the needs of its target market. 

Professionals in this role typically have a strong understanding of AI technology, machine learning, deep learning, market trends, and customer behavior. 

What does an AI Product Manager do?

An AI Product Manager is responsible for: 

  • Defining product vision and strategy
  • Managing the product development process
  • Conducting market research and competitive analysis
  • Working with data scientists and engineers to develop AI algorithms and models
  • Defining the product vision and roadmap
  • Collaborating with engineering teams
  • Managing product launch and go-to-market strategy
  • Gathering and analyzing user feedback

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How to become an AI Product Manager? 

Here is how you can become an AI product manager: 

11. Enroll in a relevant course

The most important step is to build a solid foundation. For this, you will need to have a formal education in areas like computer science, data science, marketing, and such. If you are a student, then you can pursue a bachelor’s or master’s degree in these courses. 

However, if you are a university graduate, then you can consider enrolling in specialized courses or certifications related to AI product management. This will help you gain the necessary skills and knowledge required for this role. 

2. Deepen your understanding of AI and Marketing

Getting a degree alone is not enough. You need to have a thorough and deep understanding of artificial intelligence, neural networks, machine learning, and more. 

Also, you should familiarize yourself with marketing strategies, consumer behavior, and data analytics to excel in AI product management. 

You can achieve this through self-study, online courses, workshops, and practical projects. 

3. Learn Product Management

In addition to gaining knowledge in AI and marketing, you must also learn the principles of product management. A product manager needs to know how to prioritize features, create roadmaps, and work cross-functionally with teams in order to successfully manage AI products. 

You can take special courses or workshops focused on product management to enhance your skills in this area. 

4. Network 

Once you have aced your skills in AI, marketing, and product management, it is now time to network with professionals in the industry. Networking with the right people can make or break your career. And it is not just applicable to AI product managers but to all professions. Building a strong network can open up opportunities for collaboration, mentorship, and career advancement. 

5. Gain some experience 

Hands-on experience is invaluable in understanding the practical aspects of managing AI products. You can seek out internships, volunteer opportunities, or freelance projects to gain real-world experience in AI product management. This hands-on experience will not only enhance your skills but also provide you with valuable insights into the industry. You can also consider opportunities to lead cross-functional teams or projects to hone your skills further.

6. Develop communication skills

Communication is one of the most important skills a person needs to have, regardless of their job profile.  As an AI product manager, you need to be able to effectively communicate with team members, stakeholders, and clients. To develop your skills, you can practice active listening, clear articulation of ideas, and adaptability in communication styles to convey complex technical concepts to non-technical audiences. 

7. Build a strong portfolio of your work(s)

You need to showcase your expertise and accomplishments to potential employers or clients. For this, you must have a strong portfolio that highlights your successful projects, innovative solutions, and effective communication strategies. A strong portfolio will add credibility to your resume. Your portfolio will demonstrate your ability to drive successful outcomes and build credibility in the field of AI product management. 

8. Apply for jobs

Now that you have covered everything, it is time to apply for jobs. Make sure to tailor your resume and cover letter to each job application, highlighting relevant experience and skills. Also, consider networking with professionals in the field to increase your chances of landing a job in AI product management. You can also use platforms like LinkedIn or The AI Job Board to look and apply for jobs. 

9. Keep learning

Even though you have mastered the art of AI product management, never stop learning. The AI market is fickle; it keeps updating and evolving with time, and so must you. Staying learned and updated in this field will guarantee you a successful and fulfilling career in the field. 

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Skills required to become an AI Product Manager

Here are the skills you need to learn to become an AI product manager: 

Hard Skills

  • AI and machine learning fundamentals
  • Data analysis and interpretation
  • Familiarity with AI tools and platforms (TensorFlow, PyTorch)
  • Product lifecycle management
  • Cloud computing (AWS, Google Cloud, Azure)
  • API and microservices knowledge
  • User experience (UX) design for AI products
  • A/B testing and experimentation
  • Marketing strategies

Soft Skills

  • Strategic thinking and problem-solving
  • Cross-functional collaboration and communication
  • Stakeholder management
  • Leadership and team management
  • Adaptability and learning agility
  • Customer empathy and user-centric design
  • Critical thinking and decision-making
  • Negotiation and influence skills

How much does an AI Product Manager earn?

The average salary for an AI product manager is somewhere around $100,000 per year. Senior product managers can earn around $180,000 to $200,000. It is a lucrative position that offers several benefits. 

However, this is just an average of what AI product managers around the globe earn. Individual compensation differs according to experience, knowledge, skill set, and employers. 

The Bottom Line

Becoming an AI Product Manager requires a combination of technical expertise, business acumen, and strong interpersonal skills. If you are looking forward to building a successful career in this role, then you need to learn, adapt, network, and work hard. Only then will you be able to enjoy a successful career as an AI Product Manager. 

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saumya-sumu

Saumya Sumu

Saumya is a tech enthusiast diving deep into new-age technology, especially artificial intelligence (AI), machine learning (ML), and gaming. She is passionate about decoding the complexities and uses of new-age tech. She is on a mission to write articles that bridge the gap between technical jargon and everyday understanding. Previously, she worked as a Content Executive at one of India's leading educational platforms.

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