The Flipkart / Amazon Alumni

Category management, seller growth, logistics depth. India's most transferable e-commerce talent. Strong on GMV mechanics, marketplace economics. May lack brand-building DNA for D2C roles.

The Swiggy / Zomato Generation

Hyperlocal operations, city P&L ownership, fast decision-making. India's best ops talent comes from food delivery. High adaptability — but may be anchored to delivery-led models.

The FMCG-to-Internet Migration

HUL, P&G, Marico → D2C brands or marketplaces. Brings brand building, distribution, and consumer insight. Needs calibration on digital metrics (ROAS, CAC, LTV) — often steep learning curve.

The Product School PM

IIM/IIT MBA → 2-3 years at a unicorn as PM. Analytical, framework-driven. May have contributed to features without owning metrics. Probe: what number did you own?

The Startup Operator

Joined a company at Series A, wore many hats, scaled a function. Often underrated on CVs. Ask: 'What did you build from scratch?' Answer reveals operator quality.

The Deep-Tech Internet

Data scientists, ML engineers, platform architects who've moved into product or strategy. Increasingly common as AI permeates commerce. Verify: can they communicate business outcomes, not just model accuracy?

Category GM (Q-commerce)

Must understand hyperlocal demand + FMCG buying + dark store operations simultaneously. The pool of people who've done all three is tiny.

Revenue Manager (Travel OTA)

GDS familiarity + dynamic pricing + airline/hotel relationship management. Hospitality candidates lack tech; tech candidates lack relationships.

City Head (Food Delivery)

Must own restaurant supply, delivery partner ops, customer growth, and P&L simultaneously. Finding this at ₹40-60L is near impossible in non-metro cities.

B2B Commerce Category Head

Deep commodity/trade knowledge + digital marketplace understanding + embedded finance awareness. The combination exists mostly in first-gen professionals from traditional trade.

ONDC Protocol PM

API/protocol experience + marketplace understanding + ecosystem thinking. ONDC is new enough that this role is being learned in real-time by most candidates.

Head of Creator Partnerships (D2C)

Creator ecosystem relationships + ROI attribution + commercial negotiation. People who can measure influencer ROI AND maintain creator relationships are rare.

For e-commerce category managers

"What's the take rate in your category, and how does it affect seller profitability? What's the biggest tension you've managed between seller economics and platform economics?"

For D2C growth/marketing leads

"What's your blended CAC, what's your LTV by cohort, and what channel contributed the most to your best-retained cohort? Walk me through one acquisition experiment that failed."

For city ops heads

"Tell me about a city you took from negative to positive contribution margin — what were the three levers, and how long did it take? What would you do differently?"

For supply chain heads (e-comm)

"What's your RTO (return-to-origin) rate, and what was the most impactful thing you did to reduce it? How did you balance speed vs. cost at the last mile?"

For platform / marketplace PMs

"Tell me about a time when seller health and buyer experience were in direct conflict — what did you prioritise and how did you defend the call?"

For D2C brand founders / heads

"What's your repeat purchase rate by cohort, and what's your blended CAC:LTV ratio? If it's below 3:1, why — and what's your path to improving it?"

Category Manager (E-commerce)

What they own: A product category's P&L — assortment, pricing, supplier relationships, and growth. Different from FMCG category management — digital shelf ≠ physical shelf.

Screen for: GMV owned, take rate understanding, number of sellers managed, promotional mechanics knowledge.

Red flag: Only offline retail experience; doesn't know what GMV means.

City Head / GM

What they own: Full P&L of a geography — supply, demand, operations, and the local team. India's internet companies have created thousands of city GMs who are mini-CEOs.

Screen for: City P&L ownership, contribution margin managed, team size, speed of decision-making under pressure.

Red flag: "Managed operations" without owning the number.

Growth Marketing Manager

What they own: User/customer acquisition across paid and organic channels. Must understand Meta, Google, and attribution models.

Screen for: Blended CAC, ROAS by channel, attribution model used, experiment record.

Red flag: Only managed one channel; can't explain attribution or incrementality testing.

Seller/Partner Success Manager

What they own: Seller health on a marketplace — sales growth, policy compliance, quality scores. Bridge between platform and seller.

Screen for: Number of sellers managed, GMV of seller portfolio, seller NPS, complex negotiation experience.

Red flag: Only customer success (consumer side) experience without marketplace seller dynamics understanding.

Supply Chain Head (E-commerce)

What they own: End-to-end flow of inventory from supplier to customer — including reverse logistics. Must manage RTO rates, first attempt delivery success, and cost per order.

Screen for: Cost per order, RTO rate, first attempt delivery rate, last-mile network design experience.

Red flag: Only B2B/freight experience without consumer last-mile complexity.

Revenue Manager (Travel/OTA)

What they own: Dynamic pricing and yield optimisation for hotel/airline inventory. Uses data to maximise revenue per available room or seat.

Screen for: RevPAR / RASK understanding, GDS experience, dynamic pricing model ownership.

Red flag: Only sales experience without pricing/yield analytics depth.

Category Manager

Junior (2-5 yrs): ₹10-22L

Senior (5-8 yrs): ₹22-45L

Category Head (8-12 yrs): ₹45-90L

VP / Business Head: ₹80-200L

Top marketplace category heads: ₹150L+

City Ops / City Head

City Ops Manager (3-6 yrs): ₹12-25L

City Head (6-10 yrs): ₹25-60L

Regional Head (10-14 yrs): ₹50-100L

VP Ops / COO: ₹100-250L

Food delivery city heads at ₹50-80L

Growth & Marketing

Growth Manager (3-6 yrs): ₹12-28L

Senior / Lead (6-9 yrs): ₹28-55L

Head of Growth: ₹50-90L

VP Marketing / CMO: ₹80-200L

Performance marketing specialists: premium

Supply Chain

SCM Manager (3-6 yrs): ₹10-22L

SCM Head (7-12 yrs): ₹30-70L

VP Supply Chain: ₹70-150L

CSCO: ₹120-300L

Last-mile + warehouse combo earns premium

Product (Internet context)

PM (3-6 yrs): ₹20-50L

Senior PM (6-10 yrs): ₹45-90L

Group PM / Director: ₹80-160L

VP Product / CPO: ₹120-350L

Consumer internet PM: top quartile in PM market

Data & Analytics

Analyst (2-5 yrs): ₹8-20L

Senior Analyst / DS (5-8 yrs): ₹18-45L

Lead / Head of Data: ₹40-90L

VP Data / CDO: ₹80-200L

ML/AI specialists: 20-30% premium

Scenario 1: FMCG Category Manager for E-commerce

Client is a top-3 horizontal e-commerce company hiring a Category Head for Home & Kitchen. Shortlisted candidate: 10 years at ITC, strong modern trade and GT experience, managed ₹800Cr in sales. No e-commerce experience.

The move: Probe hard on digital literacy. Ask: "Describe how Amazon's sponsored product algorithm works, and how you'd use it." If blank, be honest with client — this is a 6-month learning curve. Present alongside a pure e-commerce candidate and let the client choose risk profile.

Scenario 2: City Head for Q-Commerce Startup

Series B quick commerce startup hiring their first Mumbai City Head. Budget: ₹35-45L. You find a strong Swiggy City Head from Pune — 7 years, managed ₹200Cr GOV, team of 400. Asking ₹65L.

The move: Show client the market reality — Mumbai Q-comm City Head at ₹35L will get you a manager, not a city GM. Frame the ROI: a ₹65L city head who builds the city right is cheaper than a ₹40L hire who costs you 6 months of rework. Present the candidate with a city P&L model showing what good execution is worth.

Scenario 3: D2C vs Marketplace Skill Gap

Mamaearth (post-IPO) hiring a Head of Amazon & Flipkart. Strong candidate from Flipkart's category team — 8 years, managed a ₹2,000Cr category. But they've always been on the marketplace side, not the brand/seller side.

The move: This is a perspective flip, not a skill gap. Probe: "Tell me about the sellers in your category who grew the fastest — what did they do differently?" If they can articulate seller success drivers, they understand the other side. The move from marketplace to brand is common and usually successful.

Scenario 4: The Unicorn Inflation Problem

Candidate: 6 years at Swiggy, "Head of Supply — North India." Managing ₹500Cr in supply chain. Asking ₹90L. Client: a Series B D2C food brand. Budget: ₹50L. Gap seems impossible.

The move: Unpack the ESOP story for the candidate — Series B equity at a food brand could be meaningful at exit. Also: is this candidate genuinely a ₹90L profile or did the Swiggy title inflate their ask? Probe: "What was the team you built from scratch vs. inherited?" Real ₹90L profiles have P&L ownership, not just management. Sometimes the candidate recalibrates themselves.

Scenario 5: Gaming vs E-commerce UA

D2C beauty brand hiring Head of Performance Marketing. Candidate: 5 years as User Acquisition Lead at a gaming company, excellent ROAS track record. The brand's team isn't sure if gaming UA transfers.

The move: Gaming UA is actually excellent training for D2C performance marketing — both are data-intensive, LTV-driven, and platform-heavy. The vocabulary differs but the muscle is the same. Probe: "Walk me through how you'd think about CAC:LTV for a beauty subscription product." If they reframe comfortably, this is a strong hire. Present the transferability case clearly to the client.

Scenario 6: The ONDC Opportunity

Client is building a buyer-app on ONDC and wants a Head of Product — someone who understands both marketplace product AND protocol/API product. You can't find this person.

The move: ONDC is new enough that no one has 3 years of ONDC-specific experience. Reframe the brief: look for marketplace PM (Flipkart, Amazon, Swiggy) with strong API/platform product chops. The ONDC protocol layer can be learned; the marketplace business logic cannot. Present 2-3 profiles with clear assessment of their ONDC ramp-up path.

GMV vs Revenue

Gross Merchandise Value = total transaction value. Revenue = what the platform keeps (commissions, fees). A ₹10,000Cr GMV marketplace may have ₹1,000Cr revenue at 10% take rate. Always clarify which number a candidate is quoting.

Take Rate

The % commission a marketplace charges sellers on each transaction. Amazon India: 5-20% by category. High take rates attract competing platforms. Category managers must understand take rate economics.

RTO (Return to Origin)

Percentage of shipments returned undelivered. High RTO = cash flow problem for sellers, cost problem for logistics. E-commerce supply chain candidates should know their RTO rate and how they reduced it.

CAC : LTV

Customer Acquisition Cost vs. Customer Lifetime Value. Healthy D2C business: LTV > 3× CAC. Ask every D2C growth candidate this ratio — and their repeat purchase rate by cohort. It reveals whether the business is sustainable.

Dark Store

A micro-warehouse in a residential neighbourhood serving Q-commerce. No walk-in customers. Stock 2,000-5,000 SKUs for 10-minute delivery. Dark store density determines Q-commerce coverage — more stores = more addressable orders.

GOV (Gross Order Value)

Total value of food orders on a delivery platform (Swiggy/Zomato). Includes food + delivery fee. Different from GMV (used in product marketplaces). City Heads are measured on GOV growth.

ONDC

Open Network for Digital Commerce — India's government-backed e-commerce protocol that unbundles buyer apps, seller apps, and logistics. Not a platform — a protocol. Any app can participate. Meesho, Paytm, PhonePe are buyer apps on ONDC.

MDR

Merchant Discount Rate — the fee merchants pay on each digital payment. RBI has mandated 0% MDR on UPI for most transactions. Payment companies now monetise through premium services, lending, and business accounts.

RevPAR

Revenue per Available Room — the key hotel yield metric (Revenue ÷ Total rooms). Travel OTA revenue managers optimise for this. A candidate managing hotel partnerships without understanding RevPAR is a red flag.