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AI Product Manager test: Pre-employment screening for candidates

All tests/Role specific skills/
AI Product Manager test
Type: Role specific skills
Time: 10 min
Languages: English
Level: Intermediate

Summary of the AI Product Manager test

This test evaluates a candidate’s ability to/knowledge of AI product management. This screening test will help you hire AI product managers who can confidently lead the building, launching, and scaling of AI products.

This test identifies AI product managers who are technically proficient in AI and skilled in strategic thinking, product discovery and delivery, and fostering AI product adoption.

Covered skills

  • AI fundamentals and concepts

  • AI product strategy and development

  • Data and ethics in AI

  • AI project management and collaboration

Use the AI Product Manager test to hire

AI product managers, AI project managers, AI business analysts, AI data scientists, AI UX/UI designers, AI product marketing managers, AI data engineers, AI product trainers, AI product consultants, and AI systems architects.

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About the AI Product Manager test

The test evaluates candidates’ ability to implement product management best practices in the context of artificial intelligence (AI)-powered products. It assesses competencies in AI product management strategy, including the candidate's ability to develop and implement AI product strategies that align with the company's vision and market needs.

This test assesses AI product management delivery, including the candidate's proficiency in overseeing the product development life cycle for AI products. Finally, it assesses AI product management adoption, including the ability to drive adoption and maximize the impact of AI products.

Candidates who excel in this test will demonstrate a deep understanding of the technical aspects of AI, including knowledge of AI algorithms, data management, machine learning models, and the ethical implications of AI. They will also be proficient in communicating these complex concepts in an accessible manner to development teams, stakeholders, and non-technical audiences.

Beyond understanding AI fundamentals, this test primarily focuses on candidates' abilities to manage the AI-product development life cycle. Successful candidates will demonstrate skills related to defining product visions and strategies, conducting market research, identifying customer needs, defining product roadmaps, prioritizing features, making data-driven decisions, gathering and acting on feedback, and similar skills.

In summary, this test identifies AI Product Managers who are technically proficient in AI and skilled in strategic thinking, product discovery and delivery, and fostering AI product adoption. Their role is pivotal in ensuring that AI initiatives are effectively aligned with business objectives and can deliver substantial value to the company and its customers in a competitive AI-driven marketplace.

image of the subject-matter expert for this test

This test is made by a subject-matter expert

Erin N.

Erin is a seasoned web developer and digital product consultant, specializing in creating optimized and user-friendly websites, e-commerce platforms, SaaS, and mobile apps. With over a decade of experience, Erin's expertise lies in delivering user experiences, backed by strong market research, competitor analysis, and customer journey mapping.

Adept in Agile methodologies, Erin excels in ideation, product specs definition, wireframing, and A/B testing, ensuring product functionality and success.

Crafted with expert knowledge

TestGorilla’s tests are created by subject matter experts. We assess potential subject-matter experts based on their knowledge, ability, and reputation. Before being published, each test is peer-reviewed by another expert, then calibrated using hundreds of test takers with relevant experience in the subject.

Our feedback mechanisms and unique algorithms allow our subject-matter experts to constantly improve their tests.

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