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AI Product Manager

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Hybrid

AI Product Manager

Anlage Infotech

AI Product Manager

Skills

Product ManagementAIProduct Manager

19 days ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Hybrid

Published on:

9 October 2026

What they need


10+ years of proven experience in lean product management or related roles.

3+ years enterprise scale experience across multiple business areas.

1+ years of building AI based intelligent products

1+ years experience in using GenAI tools to perform product management tasks like conduct idea research, shaping, synthesis, roadmaps, requirements, prototyping, testing

Key Responsibilities

1 )Product Accountability

Responsible and accountable for the product's value and viability showcasing a measurable Return on Investments (ROI)

Drive strategy-aligned solutions to achieve product value objectives.

Formulate and achieve Key Performance Indicators (KPIs) for identified problems to solve.

Measure KPIs and analyze outcomes to inform future strategies.

Leverage AI to harvest outcome evidence early and often, lowering total cost of ownership (TCO).

  1. Vision and Strategy

Co-create, own, and evangelize the product vision, strategy, and roadmap, using AI to deepen domain knowledge and simulate future scenarios to chart pathways others have not yet seen.

Align product objectives with the product line and business goals.

Co-create in collaboration with business stakeholders, engineering, experience, and delivery.

Use AI to expedite research, gather evidence, bolster domain knowledge, and craft and innovative visions backed by compelling strategic rationale.

  1. Market and User Engagement

Conduct user research and competitive analysis, using AI agents to synthesize research at speedaccelerating the data crunching, ensuring the human connection.

Engage the team with users and stakeholders through continuous research and direct interactions.

Collaborate and guide the team toward solutions that address priority user and business needs.

Apply analytical skills to analyze data and derive actionable insights, shifting from waiting on analysis to working on insights.

Adopt innovative and experimental approaches to solving complex problems, including AI-built, disposable prototypes that validate solutions quickly and retire bad ideas just as fast.

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