About this role
[About the role]
We are looking for a highly driven and execution-focused Product professional to own and scale the Swag Store experience. This role sits at the intersection of Product Management, Operations, and AI-driven Analytics, where you will play a key role in driving growth, optimizing user journeys, and improving operational efficiency.
[Key Responsibilities]
Product Management (Execution-Focused)
Partner with the Product Lead to:
Define and prioritise features for Swag Store
Write clear PRDs and requirements, especially for ops, analytics, and tooling features
Drive data-backed decisions around:
Discovery, checkout, rewards, and wallet flows
Experimentation (cashback %, denominations, merchandising)
Ensure features are launch-ready with proper instrumentation and operational playbook.
Product Operations
Own day-to-day operations of Swag Store:
Catalog, pricing, denominations, offers, cashback rules
Campaign setup and monitoring via internal CMS/admin tools
Monitor live product health:
Conversion, GMV, issuance failures, payment issues, reward discrepancies
Act as the primary ops owner for identifying issues and driving resolution
AI-Driven Analytics & Insights
Own Swag Store dashboards and key metrics (funnels, GMV, AOV, reward cost)
Use AI/LLMs to:
Analyze funnels and performance trends
Generate insight summaries and experiment readouts
Detect anomalies and sudden metric changes
Turn insights into clear actions or experiments, not just reports
AI, LLMs & Automation
Actively use and configure LLMs for:
Analytics queries and summaries
Operational checks
Support issue triage and root-cause analysis
Build or manage AI-powered workflows / agents for:
Campaign validation
Offer or cashback misconfiguration detection
Daily or weekly product health summaries
Continuously identify manual workflows and replace them with AI-driven automation
Success Metrics
Improved conversion, GMV, and cashback efficiency
Faster issue detection and resolution
Reduced manual operational effort through automation
Higher experiment velocity and quality of product decisions
[Required Experience]
• 2-4+ years in Product Management, Product Ops, Analytics, or Marketplace roles.
• Strong hands-on experience with AI tools and LLMs (prompting, structured outputs, workflows)
• Experience using data to drive product and operations decisions
• Comfortable working with CMS tools, dashboards, and internal panels
We are looking for a highly driven and execution-focused Product professional to own and scale the Swag Store experience. This role sits at the intersection of Product Management, Operations, and AI-driven Analytics, where you will play a key role in driving growth, optimizing user journeys, and improving operational efficiency.
[Key Responsibilities]
Product Management (Execution-Focused)
Partner with the Product Lead to:
Define and prioritise features for Swag Store
Write clear PRDs and requirements, especially for ops, analytics, and tooling features
Drive data-backed decisions around:
Discovery, checkout, rewards, and wallet flows
Experimentation (cashback %, denominations, merchandising)
Ensure features are launch-ready with proper instrumentation and operational playbook.
Product Operations
Own day-to-day operations of Swag Store:
Catalog, pricing, denominations, offers, cashback rules
Campaign setup and monitoring via internal CMS/admin tools
Monitor live product health:
Conversion, GMV, issuance failures, payment issues, reward discrepancies
Act as the primary ops owner for identifying issues and driving resolution
AI-Driven Analytics & Insights
Own Swag Store dashboards and key metrics (funnels, GMV, AOV, reward cost)
Use AI/LLMs to:
Analyze funnels and performance trends
Generate insight summaries and experiment readouts
Detect anomalies and sudden metric changes
Turn insights into clear actions or experiments, not just reports
AI, LLMs & Automation
Actively use and configure LLMs for:
Analytics queries and summaries
Operational checks
Support issue triage and root-cause analysis
Build or manage AI-powered workflows / agents for:
Campaign validation
Offer or cashback misconfiguration detection
Daily or weekly product health summaries
Continuously identify manual workflows and replace them with AI-driven automation
Success Metrics
Improved conversion, GMV, and cashback efficiency
Faster issue detection and resolution
Reduced manual operational effort through automation
Higher experiment velocity and quality of product decisions
[Required Experience]
• 2-4+ years in Product Management, Product Ops, Analytics, or Marketplace roles.
• Strong hands-on experience with AI tools and LLMs (prompting, structured outputs, workflows)
• Experience using data to drive product and operations decisions
• Comfortable working with CMS tools, dashboards, and internal panels
About KRAFTON India
KRAFTON India is hiring for the product manager role. NewJob aggregates active openings directly from KRAFTON India's applicant tracking system, so this listing is current.
More jobs at KRAFTON India →