AI Product Manager

Responsibilities

• Own the end-to-end product lifecycle : from problem discovery and user research to release and feedback loops.
• Define product requirements and technical specifications for  data ingestion, entity resolution, and linking workflows .
• Collaborate with engineers to translate business logic into scalable technical solutions.
• Prioritize features based on business value, customer feedback, and technical feasibility.
• Write user stories, product briefs, and technical documentation to ensure clarity across stakeholders.
• Understand customer datasets and workflows deeply to inform intelligent defaults and product design.
• Partner with QA and engineering to ensure features are testable, verifiable, and performant.
• Set and monitor success metrics for product adoption, accuracy, and speed.
• Manage internal and external feedback loops to drive continuous improvement.
• Stay close to the data work with JSON payloads, inspect APIs, and evaluate prototype outputs when needed.
• Design GTM strategy to expose the product commercially
• Research and innovation : Stay up-to-date with the latest advancements in machine learning and NLP, and explore new techniques and technologies to improve the linking processes.
• Deploy and maintain  models in a production environment, monitoring their performance and ensuring their reliability.

Required Qualifications

Whats In It For You

Skills Required

Azure Devops, Jira, Python, Javascript, Sql