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AI Product Manager

AI Product Manager

ConfidentialAhmedabad
20 days ago
Job description

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

  • 7-10 years of experience in product management, with a strong focus on Machine Learning, Natural Language Processing (NLP) for information extraction and MLOps
  • Proven experience leading end-to-end implementation of multiple Data Science, Machine Learning, and AI projects, from ideation to deployment.
  • Hands-on experience driving adoption of Generative AI and Agentic AI solutions at the enterprise level, with a focus on real-world impact and scalability.
  • Experience building or managing data-heavy products (e.g., ETL tools, analytics platforms, data enrichment APIs).
  • Prior experience in  entity resolution, data linking, or metadata management .
  • Expertise in Python and related NLP libraries (e.g., spaCy, NLTK, Transformers, Hugging Face)
  • Experience with Apache Spark or other distributed computing frameworks for large-scale data processing.
  • AWS / GCP Cloud expertise, particularly in deploying and scaling ML pipelines for NLP tasks.
  • Solid understanding of the Machine Learning model lifecycle, including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring, specifically for information extraction models.
  • Experience with CI / CD pipelines for ML models, including automated testing and deployment.
  • Docker & Kubernetes experience for containerization and orchestration.
  • Version control system experience with Git, GitHub, or Azure DevOps.
  • Excellent Problem-solving, Code Review and Debugging skills
  • Software craftsmanship, adherence to Agile principles and taking pride in writing good code
  • Techniques to communicate change to non-technical people

    • Whats In It For You

  • A high-impact role where your work directly shapes the future of a data platform.
  • Autonomy to define product priorities and technical direction.
  • The opportunity to collaborate with a brilliant team solving hard, unsolved data problems.
  • Exposure to both strategic and hands-on product building.
  • A learning environment with rapid iteration, customer feedback, and shipping fast.

    • Skills Required

    Azure Devops, Jira, Python, Javascript, Sql

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