Senior Manager - Growth

About the Role You will own conversion and real-time growth levers for Swiggy Food across India Next — 700+ Tier 2/3 cities — with a headline goal of +2pp conversion by March exit. The India Next Growth team drives OPD, unit economics and competitive response for Swiggy's fastest-growing city cohort. This role sits at the centre of that charter: you will run city-level conversion programs, manage discount and delivery-fee levers in real time, turn Zomato intelligence into counter-moves, and ship new growth experiments. You will also lead Gen-AI adoption across the team so insights and interventions move faster than the market. You will work closely with city leaders (CLBHs / CHs), Product, Data Science, Business Finance, Engineering and Ops. Key Responsibilities 1. Conversions, delivery-fee revenue & projects (30%) Own the +2pp conversion goal end to end, grow delivery-fee revenue without hurting conversion, and deliver the charter's key projects. KPIs: +2pp conversion by March exit · M2O / F2M · cancellation, RDC and O2A rates · BF / LN slot conversion · delivery-fee revenue per order · projects delivered on time and at impact Run Project Compass: set city-level conversion goals, identify drivers and land interventions with city teams. Partner with Product on conversion levers — Search, payment options (UPI / COD) and COD demand-shaping. Track and lift Swiggy One penetration and its conversion impact in India Next cities. Fix CX and ops-stress gaps: PSLA vs ASLA, WBS / GD / last-mile capping and long-tail city serviceability planning. Improve the funnel — M2O, F2M, null-search and menu relevance (FVO). Cut cancellations, RDC and O2A through COD controls and item stockout / availability fixes. Grow breakfast and late-night slot conversion. Delivery-fee revenue: grow delivery-fee revenue per order through fee constructs, rain / surge / platform-fee realisation and city-level fee tiers, balanced against conversion impact. Projects: own cross-functional growth projects end to end with Product, Engineering and Data Science, from scoping to rollout across cities. 2. Discount strengthening & real-time interventions (30%) Get more incremental orders from every rupee of discount and delivery-fee spend. KPIs: iOPD and ₹ per iOPD efficiency · delivery-fee / free-del cost vs budget · CPiO Deploy non-discount and NAT strengthening on the right restaurants to arrest churn and counter competitor aggression. Own delivery-fee and free-delivery strategy and configs: rain fee, platform fee, Black Zones and city free-del requests. Plan surges and ship fast-turnaround growth fixes for city requests. Manage stress events — supply-state changes, LD optimisation and GD configs. Run real-time pricing responses to competitive moves. 3. Competitive intelligence (10%) Turn Zomato scraping into decisions city teams act on. KPIs: D-Score coverage and cadence · adoption of CI-led actions by city teams Own D-Score coverage and cadence, and use it to steer city discounting. Publish delivery-fee, D-Score and market-share reads on a regular email cadence. Translate CI into pricing and strengthening counter-strategies. 4. New growth ideas (20%) Find the next Black Zones. KPIs: iOPD from new ideas · experiments shipped · win-rate and scale-up Spot growth opportunities across cities and categories. Design and run pilots fast; kill losers and scale winners. Keep a continuous pipeline of city-level growth constructs. 5. Gen-AI for growth (10%) Make the team faster with AI. KPIs: AI use-cases live · AI-led insights · hours saved · automation coverage Lead Gen-AI use-cases across all growth charters. Build self-serve dashboards and RCA copilots. Upskill the team and institutionalise AI SOPs.

What We're Looking For Must-have Advanced SQL and Excel (mandatory) — you pull, model and read data yourself, without depending on an analyst. Hands-on Gen-AI (mandatory) — you have built LLM workflows, copilots or AI-led automations, not just used chat tools. 3–6 years in growt