Anlage Infotech
AI Product Manager
Skills
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).
- 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.
- 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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