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Product Manager - Applied AI

Anlage Infotech
10 - 13 Years
Hyderabad

Posted on: 12/10/2026

Job Description

Key Responsibilities :

Product Strategy & Roadmap : Own the end-to-end vision, strategy, and roadmap for enterprise-scale AI products, ensuring alignment with overarching business goals across multiple business areas.

AI Product Development : Drive the discovery, design, and deployment of intelligent, AI-based features and products that solve complex enterprise challenges at scale.

AI-Augmented PM Workflows : Utilize advanced GenAI tools daily to streamline product management operations, including market research, idea shaping, customer feedback synthesis, roadmapping, requirement writing, rapid prototyping, and validation testing.

Cross-Functional Leadership : Partner closely with engineering, data science, design, and go-to-market teams to deliver robust, scalable, and user-centric AI solutions.

Lean Execution : Apply lean product management principles - such as rapid experimentation, iterative delivery, and data-driven learning - to de-risk and accelerate product releases.

Stakeholder Management : Collaborate with cross-departmental stakeholders across multiple enterprise business areas to ensure seamless integration, adoption, and value realization.

Required Qualifications :

Education : Bachelor's degree in Business, Marketing, Engineering, Computer Science, or a related field.

Product Experience : 10+ years of proven experience in lean product management, product ownership, or closely related leadership roles.

Enterprise Scale : 3+ years of experience delivering and scaling products across multiple business areas in complex enterprise environments.

AI Domain Expertise : 1+ years of hands-on experience building and launching AI-based or intelligent software products (e.g., LLM integrations, predictive analytics, NLP, or computer vision solutions).

GenAI-Driven Productivity : 1+ years of demonstrated experience using Generative AI tools to execute core product management tasks, including :

- Conducting market and idea research

- Feature shaping and user feedback synthesis

- Developing dynamic roadmaps and precise product requirements (PRDs)

- Building rapid prototypes and setting up user testing frameworks

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