Associate Product Manager - Retail Operations

We're looking for an analytically sharp, execution-oriented Associate Product Manager to work on our offline retail technology stack — spanning POS systems, supply chain operations, and SAP S/4 HANA integrations. You'll work at the intersection of business operations and technology, translating messy real-world problems into well-reasoned product solutions.

This is not a coordination role. You'll be expected to own outcomes, challenge assumptions, and bring a strong AI-first lens to how we build and operate.

• Requirement definition — Work directly with business stakeholders to identify gaps, structure problem statements, and translate them into clear PRDs, user flows, and functional specs. Note: BRDs are authored by business teams; your job is to receive them, interrogate them, and convert them into actionable product specs.
• Solution design — Design end-to-end flows for new features and system enhancements across POS, inventory, and supply chain. Define acceptance criteria that leave no ambiguity between business intent and engineering implementation.
• Testing & validation — Write test cases, coordinate with QA, and drive UAT cycles to ensure features work the way they were intended — not just the way they were built.
• Issue resolution — Own RCA for production issues. Identify root causes, not just symptoms. Track recurring patterns and convert them into long-term product improvements.
• AI-first problem solving — Proactively identify where AI/ML tools, LLMs, or automation can eliminate manual effort, improve decision quality, or accelerate workflows across retail ops. You won't wait to be asked — you'll bring proposals.
• Cross-functional coordination — Act as the connective tissue between business, engineering, QA, and operations. Drive clarity, not just communication.
  
  

KPIs You Will Be Responsible For

• P1/P2 incident resolution within defined SLAs; reduction in recurring production issues QoQ
• Post-release defect rate and UAT sign-off quality
• PRD cycle time — from stakeholder brief to engineering-ready spec
• Store onboarding velocity for new POS/SAP rollouts (where applicable)
• Backlog hygiene — % of tickets with well-defined acceptance criteria; sprint spillover rate
  
  

Domain You Will Develop

• SAP S/4 HANA — Stock transfer orders (STOs), goods receipt/issue flows, inventory reconciliation, POS-ERP integration points. Deep SAP expertise is not a day-one requirement.
• POS systems — Transaction flows, billing, returns, offline-online sync, and store-level operations.
• Supply chain — Inward/outward flows, inventory management, replenishment triggers, and inter-warehouse operations.
• Omnichannel context — How offline retail operations connect to and depend on digital channels.
  
  

What we are looking for?:

• 1–3 years in product management or business analysis; retail, e-commerce, or operations-tech background preferred.
• Strong PRD and functional documentation skills — you write specs that engineers don't need to interpret.
• Comfort working in ambiguous environments where processes aren't always documented and systems don't always behave as expected.
• Genuine curiosity about AI tools — you explore, experiment, and look for ways to apply them before being asked.
• Strong analytical thinking; experience with RCA or structured problem-solving methodologies.
• Excellent stakeholder communication — you can tell a business head and a backend engineer the same story in different languages.
  
  

Good To Have

• Hands-on exposure to POS systems or offline retail operations
• Familiarity with SAP or other ERP systems
• Experience in beauty, fashion, or lifestyle retail
• Working knowledge of tools like Jira, Confluence, or Whimsical
  
  

Tools you will work with: Jira, Confluence, Whimsical, SAP S/4 HANA, Slack, AI tools

Your Growth Path

0–6 months

• Ramp on domain (POS, SAP, supply chain).
• Own issue resolution and testing cycles.
• Deliver your first PRD independently.
  
  

6–18 months

• Own a product sub-area end-to-end.
• Drive feature roadmap inputs.
• Identify and implement AI-assisted improvements to internal workflows.
  
  

18–30 months

• Transition to Product Manager, owning a defined product area with full discovery-to-delivery accountability.