Senior Product Manager Tech

Amazon Amazon · Big Tech · IN, KA, Bengaluru · Project/Program/Product Management--Technical

The Principal Product Manager Technical will own the product strategy and roadmap for capacity and inventory planning within Amazon's Fulfillment By Amazon (FBA) service. This role involves collaborating with science teams to build and enhance AI/ML models (including DeepAR, LSTMs, Generative AI, and Agentic AI) for forecasting inbound volume, optimizing operations, and launching products in emerging markets. The role requires a strong understanding of supply chain, product management, and the ability to drive feature delivery and technical discussions.

What you'd actually do

  1. Our team specializes in forecasting short and long-term inbound volume based on historical data, trends, seller behaviors, and key signals.
  2. This role requires close collaboration with the science team to design and enhance Machine Learning (ML) models for improved forecasting accuracy and with our Sale and Operations Planning (S&OP) team integrate FBA forecasting into the broader network plan.
  3. We leverage deep learning models (DeepAR, LSTMs), Generative AI, and Agentic AI to build intelligent systems that predict, adapt, and optimize inbound operations in real time.
  4. As a Senior Product Manager Technical you will need to be an owner of your portfolio, making strategic product decisions grounded in data.
  5. You will work closely with business teams, leaders, engineering teams, economists/scientists and business intelligence analysts in an agile development environment to launch new features and experiences.

Skills

Required

  • Bachelor's degree
  • Experience owning/driving roadmap strategy and definition
  • Experience with feature delivery and tradeoffs of a product
  • Experience contributing to engineering discussions around technology decisions and strategy related to a product
  • Experience managing technical products or online services
  • Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning

Nice to have

  • Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
  • Experience in building and driving adoption of new tools

What the JD emphasized

  • design and enhance Machine Learning (ML) models
  • build advanced models for optimizing inbound forecasting
  • build and enhance the forecasting toolset
  • applying AI/ML technologies to transform supply chain forecasting
  • leverage deep learning models (DeepAR, LSTMs), Generative AI, and Agentic AI to build intelligent systems
  • work on AI solutions that directly impact Amazon's global supply chain at scale

Other signals

  • The team specializes in forecasting short and long-term inbound volume based on historical data, trends, seller behaviors, and key signals.
  • Our team is at the forefront of applying AI/ML technologies to transform supply chain forecasting.
  • We leverage deep learning models (DeepAR, LSTMs), Generative AI, and Agentic AI to build intelligent systems that predict, adapt, and optimize inbound operations in real time.