top of page
  • Writer's pictureBahman Qawami

Bridging the Gap: Product Managers as Catalysts between Generative AI Engineers and Stakeholders


The emergence of Generative AI has opened new doors to creativity, innovation, and problem-solving. Generative AI systems, such as GANs (Generative Adversarial Networks) and language models like GPT-3, have the power to generate content ranging from images to text, revolutionizing industries like art, content creation, and even software development. However, the successful implementation of generative AI projects requires effective collaboration between the engineers who develop these cutting-edge technologies and the stakeholders who guide the business objectives. Enter the role of a PM, a crucial intermediary who bridges the gap between these two realms, ensuring that generative AI initiatives align with both technical capabilities and strategic goals.

The Complexity of Generative AI

Generative AI technology is marked by its complexity. Developing these systems involves intricate algorithms, neural networks, and layers of data processing that demand specialized technical expertise. At the same time, stakeholders come from diverse backgrounds, each with their own priorities and objectives. This dichotomy often creates a communication gap, where technical concepts might be hard to grasp for stakeholders, while business goals could appear abstract to the engineers.

Empowering Collaboration: The Role of a Product Manager

Product Managers ability to understand both the technical and business sides of a project, are uniquely positioned to act as facilitators in bridging the gap between generative AI engineers and stakeholders.

PM role in this context:

  1. Translation and Clarity: Translating intricate technical jargon into understandable language for stakeholders. They help engineers explain the value and potential of their generative AI projects in terms that align with the organization's objectives.

  2. Requirements Definition: Working closely with stakeholders to gather requirements to ensure that generative AI initiatives are in harmony with business strategies. This involves comprehending stakeholders' needs, aspirations, and constraints and transforming them into actionable technical requirements for the AI engineers.

  3. Prioritization and Planning: As facilitators, PMs prioritize generative AI projects based on their business impact and technical feasibility. They create roadmaps that outline the path towards achieving the goals, enabling stakeholders to visualize the journey and anticipate milestones.

  4. Collaboration Across Functions: Successful integration of generative AI requires cross-functional collaboration across engineering, design, marketing, and more. PMs foster this collaboration, advancing mutual understanding and ensuring that all teams work towards the same vision.

  5. Expectation Management: PMs manage stakeholders' expectations through regular updates, realistic timelines, and addressing concerns. This minimizes misunderstandings and promotes a harmonious relationship between engineers and stakeholders.

  6. Iterative Refinement: Generative AI projects often require continuous improvement. PMs establish a feedback loop between engineers and stakeholders, allowing for refinements based on real-world usage and input.


In the era of Generative AI, Product Managers play a critical role in steering projects to success by acting as the bridge between engineers and stakeholders. They bridge the gap between the intricate technical aspects and the strategic business objectives, ensuring that generative AI initiatives are developed, executed, and optimized with both perspectives in mind. With their unique ability to communicate, prioritize, and mediate across different functions, PMs are the driving force behind the seamless fusion of generative AI technology and business outcomes. As organizations continue to harness the creative potential of AI, the role of the Product Manager becomes ever more essential in making the integration a success.

10 views0 comments


bottom of page