Product Manager – AI

Job Description

A Product Manager for AI projects is responsible for overseeing the development and deployment of artificial intelligence-based products or features. Their key responsibilities include:

## Strategic Planning
– Conducting market research to identify opportunities for AI solutions
– Defining the product vision and strategy aligned with business goals
– Creating a roadmap and prioritizing AI initiatives based on impact and feasibility

## Product Development
– Collaborating with cross-functional teams like data scientists, ML engineers, and developers
– Translating business requirements into technical specifications for AI models
– Ensuring AI solutions adhere to ethical guidelines, regulations, and responsible AI principles[3][4]

## Data Management
– Working closely with data teams to ensure availability of high-quality training data
– Understanding data requirements, pipelines, and governance for AI models
– Monitoring model performance metrics and driving continuous improvement[1][5]

## Stakeholder Management
– Communicating the product vision and AI capabilities to executives and stakeholders
– Gathering feedback from customers/users to enhance AI product experience
– Managing expectations and addressing concerns around AI adoption[2][3]

The AI Product Manager acts as the bridge between business stakeholders, technical teams, and end-users. They combine strategic thinking, technical knowledge of AI/ML, and strong communication skills to drive the successful development and adoption of AI-powered products and solutions.[1][2][3][4][5]