





Strong employer brand plus metro location and mid-level title increase applicant density despite domain specialization.
Role requires B2B SaaS and retail analytics product experience, making skills moderately transferable across enterprise product roles.
Explicit 5+ years requirement plus mandatory AI product strategy and cross-border vendor experience raises filtering rigor.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own the product vision, strategy, and execution for next-gen AI-driven retail space automation, reducing merchandising cycle times globally.
Define and execute multi-year roadmap integrating AI capabilities such as conversational interfaces and automated workflows into merchandising processes.
Lead cross-functional teams and external vendors to transition fragmented legacy tools into a unified global AI platform with focus on operational excellence and platform performance.
Bachelor’s or Master’s in Computer Science, Data Science, Business Analytics, Engineering, or equivalent.
5+ years of core Product Management experience, scaling global enterprise B2B SaaS or complex retail analytics products.
Expertise in Agile Product Management, Vendor & Cross-Border Stakeholder Management, and advanced AI Product Strategy including LLM integration.
Location is Bangalore with onsite requirement.
Experienced in strategic product leadership for AI-enabled enterprise SaaS platforms with focus on retail or analytics domains.
Capable of managing complex, cross-border stakeholder environments and leading vendor engagements at executive levels.
Comfortable with technical concepts including APIs, SQL, AI and data pipeline architectures to translate business needs into actionable backlogs.