Sr. Product Manager (Tech), Trustworthy Shopping Experience

As a Senior Product Manager - Technical at Amazon in Bangalore, India, you will play a crucial role in developing next-generation AI-powered compliance and safety solutions with a focus on Generative AI. Your responsibilities will include:

- **GenAI Product Strategy & Execution**: - Define and own the 3-5 year product vision and roadmap for GenAI-powered compliance automation, balancing innovation with operational excellence - Partner with Applied Scientists and ML Engineers to evaluate LLM capabilities for safety and compliance workflows, including accuracy, latency, cost, and safety guardrails - Design and launch human-in-the-loop (HITL) systems that combine AI automation with human judgment for high-stakes compliance decisions - Establish metrics and evaluation frameworks for AI model performance, including precision/recall, false positive rates, cost per decision, and operational impact - Assess emerging LLM technologies (GPT, Claude, Llama, etc.) and recommend strategic investments for Amazon's compliance tech stack

- **Technical Leadership & Collaboration**: - Work with internal customers to understand their use cases, pain points, and requirements for AI-assisted compliance workflows - Collaborate with partner engineering teams to drive product roadmaps for compliance and safety, ensuring technical excellence and scalability - Challenge Science teams on model architecture decisions, technical trade-offs, and design choices to ensure optimal product outcomes - Address bottlenecks, provide customer input, anticipate and make tradeoffs, and balance business needs versus technical constraints - Understand and articulate the technical reasons behind product architecture decisions and recognize when technical design limits future innovation

- **Cross-Functional Program Management**: - Partner with multiple tech, product, and operations teams across multiple locations with varying priorities to ensure timely delivery of AI solutions - Clarify and drive project commitments as well as establish and maintain clear chains of accountability across Science, Engineering, and Operations

You should have a strong technical background in Generative AI, excellent problem-solving skills, and expertise in product management for AI/ML domains. Your ability to collaborate with cross-functional teams, drive technical excellence, and balance business needs with technical constraints will be key to your success in this role. Prior experience in product management for AI/ML products, managing GenAI roadmaps, and working in retail or supply chain environments is preferred.

If you are passionate about transforming how Amazon ensures customer safety at scale and are driven by building meaningful AI-powered products, this is an opportunity to be part of a challenging and strategic initiative at Amazon. As a Senior Product Manager - Technical at Amazon in Bangalore, India, you will play a crucial role in developing next-generation AI-powered compliance and safety solutions with a focus on Generative AI. Your responsibilities will include:

- **GenAI Product Strategy & Execution**: - Define and own the 3-5 year product vision and roadmap for GenAI-powered compliance automation, balancing innovation with operational excellence - Partner with Applied Scientists and ML Engineers to evaluate LLM capabilities for safety and compliance workflows, including accuracy, latency, cost, and safety guardrails - Design and launch human-in-the-loop (HITL) systems that combine AI automation with human judgment for high-stakes compliance decisions - Establish metrics and evaluation frameworks for AI model performance, including precision/recall, false positive rates, cost per decision, and operational impact - Assess emerging LLM technologies (GPT, Claude, Llama, etc.) and recommend strategic investments for Amazon's compliance tech stack

- **Technical Leadership & Collaboration**: - Work with internal customers to understand their use cases, pain points, and requirements for AI-assisted compliance workflows - Collaborate with partner engineering teams to drive product roadmaps for compliance and safety, ensuring technical excellence and scalability - Challenge Science teams on model architecture decisions, technical trade-offs, and design choices to ensure optimal product outcomes - Address bottlenecks, provide customer input, anticipate and make tradeoffs, and balance business needs versus technical constraints - Understand and articulate the technical reasons behind product architecture decisions and recognize when technical design limits future innovation

- **Cross-Functional Program Management**: - Partner with multiple tech, product, and operations teams across multiple locations with varying priorities to ensure timely delivery of AI solutions - Clarify and drive project commitments as well as establish and maintain clear chains of accountability across Science, Engineering, and Operation