| Job Title | Senior Product Manager – Tech, Amazon Pay CX |
| Company | Amazon Pay (India) Private Limited |
| Job ID | 10570095 |
| Location | Bengaluru, Karnataka, India |
| Team | Amazon Pay |
| Job Category | Project/Programme/Product Management – Technical |
| Qualification | Bachelor’s degree |
| Role Focus | Post-Transaction Customer Experience |
| Key Responsibility | Build self-service solutions for post-transaction customer queries across the Amazon app |
| Customer Experience | Define experiences across Thank You pages, notifications, transactions and self-service tools |
| Customer Support | Provide support agents with information and tools to resolve customer escalations |
| Amazon Pay Growth | Drive preference and adoption of Amazon Pay instruments and use cases |
| Product Strategy | Develop product strategy for payment experiences, instrument selection, transaction latency and success rates |
| User Experience | Collaborate with UX/UI teams to create seamless payment flows and improve conversion |
| Feature Prioritization | Prioritize features based on customer feedback, competition and business impact |
| Technical Coordination | Work with engineering teams on technical requirements, delivery and challenges |
| Data & Analytics | Monitor business metrics, analyze data and identify optimization opportunities |
| Roadmap | Create quarterly and yearly product roadmaps and define product vision |
| End-to-End Delivery | BRD creation, phasing decisions, GTM planning, post-launch analysis and continuous iteration |
| Stakeholder Management | Work with internal teams, external industry leaders and senior management |
| Daily Responsibilities | Review key business metrics, investigate anomalies, review NPS/Voice of Customer and develop new product ideas |
| Required Experience | Roadmap strategy, feature delivery, product trade-offs, technical product management and online services |
| Technical Collaboration | Experience contributing to engineering discussions and technology decisions |
| Data Orientation | Strong analytical mindset and ability to make product decisions using data |
| Statistical Skills | Knowledge of experimentation and statistical analysis is an advantage |
| Preferred Tools | SQL, QuickSight, Tableau, QlikView, Figma, Weblabs |
| Additional Skills | Ability to handle ambiguity, negotiate complex topics and resolve conflicts |
