Full-Time

Senior Product Manager

Tech

Amazon

Amazon

10,001+ employees

Global online marketplace and cloud services

No salary listed

Bengaluru, Karnataka, India

In Person

Category
Product (1)
Required Skills
LLM
Claude
Product Management
Machine Learning
OpenAI
Data Analysis
Requirements
  • 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
Responsibilities
  • 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
  • GenAI Product Strategy & Execution: Partner with Applied Scientists and ML Engineers to evaluate LLM capabilities for safety and compliance workflows, including accuracy, latency, cost, and safety guardrails
  • GenAI Product Strategy & Execution: Design and launch human-in-the-loop (HITL) systems that combine AI automation with human judgment for high-stakes compliance decisions
  • GenAI Product Strategy & Execution: Establish metrics and evaluation frameworks for AI model performance, including precision/recall, false positive rates, cost per decision, and operational impact
  • GenAI Product Strategy & Execution: 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
  • Technical Leadership & Collaboration: Collaborate with partner engineering teams to drive product roadmaps for compliance and safety, ensuring technical excellence and scalability
  • Technical Leadership & Collaboration: Challenge Science teams on model architecture decisions, technical trade-offs, and design choices to ensure optimal product outcomes
  • Technical Leadership & Collaboration: Address bottlenecks, provide customer input, anticipate and make tradeoffs, and balance business needs versus technical constraints
  • Technical Leadership & Collaboration: 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
  • Cross-Functional Program Management: Clarify and drive project commitments as well as establish and maintain clear chains of accountability across Science, Engineering, and Operations
  • Cross-Functional Program Management: Drive adoption of GenAI solutions across global compliance operations through change management, training, and stakeholder engagement
  • Cross-Functional Program Management: Manage complex initiatives across numerous business models and create certainty out of ambiguity while maintaining firm grasp over operational, financial, and technical aspects
  • Data-Driven Decision Making: Query and analyze data to derive insightful findings that inform product strategy and prioritization
  • Data-Driven Decision Making: Define success metrics for AI model deployment including business impact, operational efficiency gains, and customer experience improvements
  • Data-Driven Decision Making: Conduct cost-benefit analyses for GenAI investments, including model training costs, inference costs, and operational savings
  • AI Governance & Responsible AI: Establish AI governance frameworks and responsible AI practices for compliance use cases
  • AI Governance & Responsible AI: Design evaluation protocols for model safety, bias detection, and fairness in automated decision-making
  • AI Governance & Responsible AI: Partner with Legal and Compliance teams to ensure AI solutions meet regulatory requirements and ethical standards
Desired Qualifications
  • Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
  • Experience in building and driving adoption of new tools

Amazon operates a global e-commerce platform with a large online marketplace that connects consumers to both direct sales and third-party sellers across many product categories. It earns money from product sales and marketplace fees, Amazon Prime subscriptions, and AWS cloud services, plus a large Amazon Associates affiliate network. The platform combines fast shipping, streaming, cloud computing, and digital services to reach customers across numerous countries. Its goal is to be the world’s most customer-centric company by offering convenient access to a wide range of products and services.

Company Size

10,001+

Company Stage

IPO

Headquarters

Seattle, Washington

Founded

1994

Simplify Jobs

Simplify's Take

What believers are saying

  • AWS revenue surges 28% to $37.6B in Q1 2026 from AI compute demand.
  • Custom AI silicon backlog reaches $225B with Trainium4 pre-orders.
  • €15B France investment from 2026-2028 funds AI logistics and net-zero goals.

What critics are saying

  • Azure grows 39% and Google Cloud 32% YoY, outpacing AWS's 18% in Q2 2025.
  • $200B 2026 capex strains cash flow if AI demand cools by mid-2027.
  • Tokenmaxxing and 30K layoffs fuel ALU union disruptions in warehouses by Q4 2026.

What makes Amazon unique

  • Amazon Bedrock hosts world's largest foundational AI models via OpenAI partnership.
  • Trainium3 chips deliver 30-40% better price-performance than GPUs at $20B run-rate.
  • Amazon Supply Chain Services leverages 100 aircraft and 1M robots for non-retail brands.

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Benefits

Flexible Work Hours

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

-2%

1 year growth

-1%

2 year growth

-1%
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