Senior Manager - Growth

Skills this role screens for

The work

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.

The work

Key Responsibilities

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

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

Turn Zomato scraping into decisions city teams act on.

KPIs: D-Score coverage and cadence · adoption of CI-led actions by city teams

Find the next Black Zones.

KPIs: iOPD from new ideas · experiments shipped · win-rate and scale-up

Make the team faster with AI.

KPIs: AI use-cases live · AI-led insights · hours saved · automation coverage

• Conversions, delivery-fee revenue & projects (30%)
• 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.
• Discount strengthening & real-time interventions (30%)
• 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.
• Competitive intelligence (10%)
• 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.
• New growth ideas (20%)
• 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.
• Gen-AI for growth (10%)
• Lead Gen-AI use-cases across all growth charters.
• Build self-serve dashboards and RCA copilots.
• Upskill the team and institutionalise AI SOPs.

Who they want

What We're Looking For

Also

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 growth, category, strategy or analytics at a consumer internet, quick-commerce, food-tech or marketplace company.
• Ownership of a conversion, pricing or discount lever with measurable impact.
• Experiment design — A/B tests, pilots, incrementality reads.
• Bias to action: ships fixes in hours or days, not quarters, under real-time pressure.
• Clear communication with city leaders and senior stakeholders.

Nice to have

Good to have

"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regards to race, color, religion, sex, disability status, or any other characteristic protected by the law"

Visit our tech blogs to learn more about some the challenges we deal with: https://medium.com/swiggy-bytes

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.

• Python, dashboarding (Tableau / Looker / Streamlit) or automation experience.
• Experience with Tier 2/3 or Bharat markets.
• Exposure to competitive intelligence, pricing or delivery-fee strategy.
• Tier-1 engineering / MBA background, or an equivalent track record.