Senior Product Manager

You'll use AI day-to-day to do the work of a much bigger product org - building the systems, not just briefing them.

What you'll do

• Build an AI-powered shopping assistant that'll help users find and buy products of their choice from scratch
• Own the D2C product roadmap end to end - site experience, checkout, catalog and sizing, post-purchase - for a small, fast-moving team
• Build and ship AI-powered customer experience: sizing/support concierge on site or WhatsApp, review and support-ticket synthesis, personalized product recommendations
• Use AI-assisted forecasting to guide inventory and reorder decisions with our manufacturing partners
• Run experiments directly on the storefront - pricing, bundles, PDP, checkout - and own the read on what moved the P&L
• Partner with design and ops on new SKUs and materials, from customer insight through to shelf
• Stand up lightweight internal tooling and dashboards yourself (AI copilots plus code where needed) - there's no dedicated data team to hand this to
• Turn reviews, tickets, and surveys into a weekly insight digest, using LLMs to do the first pass so you can focus on the judgment calls

Must have

• 4+ years in product management, with real ownership of a D2C or consumer product end to end (or significant amount of experience working on consumer internet products)
• Genuinely hands-on with AI tools - you prompt, evaluate, and ship LLM-powered workflows yourself, not just consume AI output from others
• Strong data literacy - comfortable pulling and reading Shopify/GA data unaided
• A bias to ship - you've worked somewhere small enough that the PM also writes the brief, tests the flow, and fixes what's broken
• Excellent written communication - this role reports directly to the founders

Good to have

• Experience with the Shopify ecosystem (Shopify, Klaviyo, Meta/Google Ads)
• Some exposure to apparel or physical-goods supply chains
• Time at an early-stage, resource-constrained startup
• Enough Python or SQL to build a tool or run an analysis without waiting on engineering

Who you'll be You like ambiguity and small teams. You'd rather ship an 80% solution this week than a perfect one next quarter. You're actually excited about using AI day to day, not just talking about it in meetings - and you care as much about the craft of a good product, down to a sock, as you do about the metrics behind it.

Compensation is best in industry for an early-stage team, and this is a hybrid role based in Bengaluru.

Pay: ₹2,400,000.00 - ₹4,200,000.00 per year

Work Location: Hybrid remote in Bengaluru, Karnataka (Bengaluru, Bengaluru Urban District)