An Applied AI Product Manager is a senior individual contributor responsible for ensuring a product’s value and viability within a product line. This role involves leading empowered, cross-functional product teams to solve moderate complexity customer problems that align with high value business needs. The Applied AI Product Manager is accountable for the product’s success, from vision to execution, and collaborates closely with various functions and stakeholders to deliver valuable, viable, usable, and feasible solutions. The Applied AI Product Manager harnesses AI and agentic tools to compress the concept-to-cash learning loop—automating analysis, prototyping, and compliance detail-work so the team can focus on the human judgment AI cannot replace: product sense-making.
Key Responsibilities
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 creative visions backed by compelling strategic rationale.
Market and User Engagement
Conduct user research and competitive analysis, using AI agents to synthesize research at speed—accelerating the
📌 Applied AI Product Manager (Hyderabad)
🏢 Deloitte
📍 Hyderabad
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