Manager- Product GTM
- Salary
- ₹23–40 LPA
- Location
- Bangalore, India
- Experience
- Senior
About the company & role
Manager- Product GTM - Toing About the role Swiggy is looking for a Product GTM leader for the Toing to own the last-mile translation of product readiness into successful business outcomes. This role sits at the intersection of product, business, operations, analytics, city teams, support, and marketing, and is responsible for ensuring that new product capabilities on Toing are not just built, but launched in a controlled, measurable, and high-adoption manner. The ideal candidate can operate across rollout planning, analytics, field execution, and stakeholder influence, while working closely with PMs to scale products across cities and cohorts. What you will own Own end-to-end go-to-market planning and execution for customer-facing products  Convert product readiness into city-wise launch plans, phased rollouts. Create and run rollout and rollback SOPs, launch checklists, pre-mortems, and risk-mitigation plans. Partner with PMs and analytics to define launch metrics, success thresholds, guardrails, and monitoring cadence. Lead product feature and config walkthroughs for internal operations and city teams to ensure readiness before launch. Drive alignment.  Coordinate controlled pilots, production testing, field validation, and issue triage during scale-up. Engage in on-going field testing.  Monitor launch progress in real time, identify blockers early, and drive cross-functional resolution. Proactively communicate launch status, roadblocks and path to green for every launch Work with marketing and PMM teams to drive awareness, comprehension, and adoption of features.  Build strong feedback loops from the ground to product teams by synthesizing field inputs, city feedback, and launch learnings into clear recommendations. What success looks like Products launch on time with strong operational readiness and low avoidable disruption. GTM cycles are fast-tracked and completed well within time.  Rollouts are phased intelligently, with clear decisi