Product Manager -AI & Personalisation

🤖 We're Hiring: Product Manager – AI & Personalisation
Location: Gurugram || 6 days working
Experience: 2–4 years
Function: Product Management
E-Commerce experience mandatory
AI features are easy to ship. AI features that actually move revenue, conversion, and customer experience are hard — and that's the job we're hiring for. We're building out our AI & Personalisation function and looking for a Product Manager who treats every AI initiative as a business bet, not a technology showcase.
About the Role
You'll own how we use recommendations, personalisation, and search intelligence to improve the customer journey — from product discovery through checkout. The guiding question behind everything you ship: "Did this improve revenue, conversion, AOV, or customer experience?" Not: "How many AI features did we launch?"
What You'll Do
Strategy & Roadmap
✅Define and prioritize the AI/personalisation roadmap based on expected business impact, informed by data and experimentation — not hype.
✅Partner with Data Science/ML Engineering to scope what's technically feasible and what's worth building.
✅Own the lifecycle of AI features from hypothesis through experimentation, launch, and iteration.
Personalisation & Recommendations
✅Drive personalised revenue growth through recommendation engines across product discovery, PDP, cart, and post-purchase touchpoints.
✅Improve recommendation click-through and conversion rates through continuous testing and refinement.
✅Grow the share of customers meaningfully exposed to and engaging with AI-driven experiences.
Search & Discovery
✅Improve search relevance and reduce zero-result search rates, using query and behavioral data to guide ranking improvements.
✅Work with engineering to balance search speed, accuracy, and personalisation.
Experimentation & Rigor
✅Design and run structured A/B tests to validate whether AI initiatives actually move the metrics that matter.
✅Track and manage the cost efficiency of AI systems (cost per transaction/user) so performance gains don't come at an unsustainable cost.
✅Own data quality and coverage for the recommendation and personalisation systems you depend on — garbage in, garbage out applies here more than anywhere.
What We're Looking For
✅2–4 years of Product Management experience, in ecommerce platforms.
✅Experience shipping AI/ML-driven features — recommendation systems, personalisation engines, or search ranking — and owning their post-launch performance, not just the launch itself.
✅A genuinely data-first mindset: comfortable defining hypotheses, designing experiments, and killing ideas that don't move metrics.
✅Ability to work closely with Data Science/ML teams without needing to be an ML engineer yourself — you need to ask the right questions, not write the models.
Nice to Have
✅Experience with recommendation engine platforms, personalization tools, or search/ranking systems specifically.
✅Familiarity with LLM-based or GenAI product features (chat assistants, generative recommendations, etc.).
Why This Role
If "we launched 12 AI features this quarter" makes you nervous because nobody asked whether any of them worked — and "conversion moved 3% and here's why" is the kind of sentence you want to say in your next performance review — this role is built for you.
📩 Interested? Apply here or send your resume to - shivangi.tanwar@shopeeglobal.in

Work arrangement
No