AI Product Visionary

1 week ago

Gurgaon Gurugram Bengaluru Bangalore, India beBeeData Full time ₹ 15,00,000 - ₹ 28,00,000

Job Title: AI Product Manager

Job Description

The role of an AI Product Manager is to oversee the entire lifecycle of a product, from inception to deployment. This involves understanding customer needs, defining product requirements, and collaborating with engineers to translate business logic into technical solutions.

As an AI Product Manager, you will be responsible for owning the end-to-end product development process. This includes conducting user research, gathering feedback, and ensuring that the product meets customer expectations.

You will also define product requirements and technical specifications for data ingestion, entity resolution, and linking workflows. Additionally, you will collaborate with engineers to ensure that the product is scalable, efficient, and meets business objectives.

Required Skills and 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
Benefits
  • 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
Others

This is a unique opportunity to shape the future of a data platform and make a meaningful impact. If you are passionate about AI and product management, this role is ideal for you.

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