[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
KRAFTON India Bengaluru, Karnataka, IND Office
1st cross rd, Sampangiramnagar, , Workspace Central Bangalore, 19th floor, Bagamane Pallavi Tower, Bengaluru, Karnataka , India, 560027
