Sr Product Manager, Forecasting Tools, Demand Planning & Workforce Intelligence
Amazon
Bengaluru, KA, IN
Not specified; not specified; not specified
On-site
Genai and llm product innovation
End-to-end product vision and roadmap ownership
Data-driven decision making for operations
Amazon is seeking a Senior Product Manager for its Demand Planning & Workforce Intelligence (DPWI) team in Bengaluru, focusing on AI-powered workforce management solutions. The role involves owning product vision, driving innovation with GenAI/LLM technologies, and collaborating with various stakeholders to enhance operational efficiency
Job Summary
The role focuses on building an AI-powered command center that transforms workforce management from reactive operations to intelligent orchestration.
The Product Manager will drive GenAI/LLM product innovation to apply AI and machine learning to complex operational challenges within Amazon's global network.
This high-visibility position offers direct exposure to senior leadership and significant autonomy to influence operations strategy across the company.
Matching Summary
Match Score: 85
Amazon is seeking a Senior Product Manager for its Demand Planning & Workforce Intelligence (DPWI) team in Bengaluru, focusing on AI-powered workforce management solutions. The role involves owning product vision, driving innovation with GenAI/LLM technologies, and collaborating with various stakeholders to enhance operational efficiency.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
GenAI and LLM product innovation
End-to-end product vision and roadmap ownership
Data-driven decision making for operations
Collaboration with data scientists and ML engineers
Stakeholder management across global teams
Nice-to-have
Customer obsession mindset
Experience in large-scale operations
Strategic enablement capabilities
High visibility leadership exposure
Key Requirements
Product lifecycle management experience
Ability to translate business requirements into technical AI/ML solutions
Experience defining success metrics for forecasting platforms