A product manager decides what a team should build and why, owning the product's direction, priorities and outcomes. Companies hire one when engineering capacity is growing faster than clarity about which problems deserve it.
Product discovery is the work of understanding user problems and testing possible solutions before committing to build them. It reduces the risk of shipping something nobody needs.
A product roadmap is a high-level plan showing where a product is heading over time. It sets out the problems to address, the outcomes sought and the rough order of major work.
An AI product manager decides what AI-powered features to build and how to judge them, balancing user needs with model capabilities, data, evaluation and risk. They define success when outputs are probabilistic rather than fixed.
A product requirements document (PRD) describes what a product or feature should do and why. It sets out goals, target users, scope, requirements and success measures before design and development.
Roadmap prioritisation is the process of deciding which initiatives, features or problems a product team tackles first. Teams weigh value, effort, risk and strategy using explicit criteria.
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