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Gaurav
Kishore

"I've spent my career turning unstructured growth problems into clean product decisions — across telecom, ecommerce, and now AI."

Gaurav Kishore
$60M+
Revenue influenced
30+
Experiments shipped
1,000+
Platform users scaled

I'm a Consumer and Growth PM, based in Bengaluru — though I grew up in Ranchi, where the hills were always close. I've worked across some of India's most demanding product environments — Swiggy, Airtel, a multi-market ecommerce business, and now a global AI platform at AB InBev.

I tend to stay in the problem longer than most people are comfortable with. Not because I'm slow, but because I've found that most product decisions go wrong not at the execution stage, but much earlier — when the problem itself wasn't understood well enough. Solutions come in versions. The right problem, if you've found it, tends to stay constant.

Outside of work, I still find myself drawn to the mountains when I can.

Chapter 01
Learning the craft at one of India's most demanding consumer apps
Aug 2021 – Jul 2022 +

My first product role. I was dropped into Swiggy's grocery vertical with one mandate — grow. What followed was a crash course in consumer behaviour, merchandising psychology, and the art of moving fast without breaking things.

7×DAU growth, grocery
46%Add-to-cart lift
5K+SKUs scaled

The work was scrappy and fast. I rebuilt the homepage discovery experience from scratch, pushed add-to-cart up 46%, and scaled the catalogue from 300 to 5,000+ SKUs across six cities. On the monetisation side, I built Swiggy's brand partnership products — offers, sampling, in-app placements — which grew to contribute 3% of overall grocery revenue. When COVID hit and traffic spiked unpredictably, I shipped demand-shaping infrastructure that kept the business from buckling under its own growth. By the time I left, DAU had grown 7× and average order value had more than doubled.

Consumer growthMerchandisingSearch & discoveryExperimentation
Chapter 02
Building the growth engine for 300M+ customers, from scratch
Jul 2022 – Sep 2023 +

Moving from food-tech to telecom meant a new scale entirely. I built Airtel's CLM platform from scratch — a system that automated lifecycle journeys across Prepaid, Postpaid, Broadband, and DTH. The job wasn't just shipping features; it was building the infrastructure for growth itself.

2.3×App activation
70%Go-live time saved
20%Churn reduced

I built Airtel's CLM platform from the ground up — integrating C360, Airtel IQ, Salesforce, and provisioning systems into a single lifecycle engine. The onboarding work was particularly meaningful: a WhatsApp-led port-in journey reduced drop-offs by 31%, and behavioral nudges pushed app activation up 2.3× with early recharges improving 27%. I also built the campaign template system that cut go-live time by 70%, turning what used to be a two-week process into hours. On retention, ML models identifying at-risk cohorts helped bring churn down 20%. Managed a $150K budget throughout with 20% higher ROI than target.

CLM platforms0 to 1 buildLifecycle growthRetention
Chapter 03
Owning revenue across a multi-market ecommerce portfolio
Sep 2023 – Oct 2025 +

For the first time, I owned a P&L. I led revenue product strategy across acquisition, activation, and monetisation — managing a team of 4 APMs and clocking $60M in revenue. The complexity of multi-country ecommerce, with its varied payment rails, logistics partners, and customer behaviours, made every decision consequential.

$60MRevenue influenced
45%Cart-to-checkout lift
30+Experiments shipped

The scope here was broader than anything I'd done before. Across acquisition, activation, and monetisation, I ran 30+ A/B and multivariate experiments that improved conversion 9% year-on-year. The checkout work was the most impactful — integrating Stripe payment intent and additional payment methods pushed cart-to-checkout up 45%. I also launched an insurance revenue stream for Coversandall.com across multiple countries, hitting $500K in 60 days with 42% product adoption. Toward the end of my time here, I led AI Agent-powered content automation that drove 23% more engagement on product pages — an early signal of where the industry was heading.

Revenue ownershipMulti-marketConversion optimisationAI automation
Chapter 04
Rethinking how large organisations run experiments, with GenAI
Oct 2025 – Present +

The current chapter. At AB InBev, I'm working on something that genuinely excites me — a GenAI-powered experimentation platform used by 1,000+ users globally. The challenge here isn't just product; it's rethinking how large organisations make decisions faster, with less friction and more confidence.

1,000+Global users
70%Experiment time saved
10×Adoption in 3 months

The platform started small — a handful of teams, a narrow use case. Within three months of launching self-serve experiment workflows, adoption went from 100 to 1,000+ users globally. The core product insight was simple: most people don't run experiments because the setup is too slow and the diagnostics too opaque. We solved both — LLM-based test generation cut experiment time by 70%, and automated failure diagnostics meant teams could learn and iterate without needing a data scientist in the room. This is still the current chapter, and the most technically ambitious work I've done.

GenAILLMsExperimentation platformsEnterprise SaaS
gaurav404kishore-max.github.io/Nearby
9:41●●●
ATM
Petrol
Pharmacy
Open now
Cash deposit
SBI
14 ATMs nearby
Open · 24 hrs
80m
SBI ATM — Koramangala
80m away · Updated 2 hrs ago
Cash depositCardlessCash ok
Live
Product thinking
NearBy — Find What You Actually Need
clear-notes.netlify.app
Clear Notes
3 notes · 1 overdue
Call dentist before Thursday — confirm appointment time
Reminder: Thu 10am
Pick up dry cleaning on the way home
No reminder
Review Q3 OKRs before Monday standup
Reminder: Mon 9am
Pay electricity bill — due date is the 15th
⚠ Overdue
Live
Product thinking
Clear Notes — Dead-simple Notes & Reminders
fitelo.netlify.app
FITLOG🔥 12 day streak
24Sessions
18,420Volume kg
42km run
This week
Push day — chest & shouldersToday · 6 exercises
5km run — Cubbon ParkYesterday · 28:14
Live
Product thinking
FitLog — Fitness Tracker
The problem
Why does this exist?
Google shows you where ATMs are. Not what they do. You walk 400m to an ATM and discover it only dispenses cash — not deposits. The information exists. It's never surfaced at the point of intent.
Who is it for?
Urban India, 25–45. High-intent, time-sensitive needs — depositing cash before a deadline, finding fuel late at night, a 24-hour pharmacy at 11pm. Zero tolerance for wrong results.
North star metric
Navigate taps per session. If someone taps navigate, the app did its job. That's the job to be done, done.
Key decisions
Why no ratings or reviews?
Every feature that adds noise to a utility app is a failure of product thinking. You don't rate an ATM. Reviews increase cognitive load at the exact moment users need speed.
Why list-first, not map-first?
Distance ranking answers "which one should I go to" faster than a map. The map answers "where exactly" — that's step two, not step one.
Why "Open now" always on by default?
Nobody searches for a closed ATM intentionally. Defaulting to open removes one decision from an already urgent moment.
The problem
Why another notes app?
Most notes apps are built for power users — folders, tags, collaboration, formatting. The gap is a notes app for people who just want to not forget things. No setup, no friction, nothing to learn.
Who is it for?
People who find Notion overwhelming and Reminders too bare. The in-between user — wants colour, wants reminders, doesn't want a system.
North star metric
7-day return rate. If someone comes back a week later, the app earned a place in their routine. That's the real test for any utility product.
Key decisions
Why biometric login?
The #1 drop-off in personal apps is the login screen. Face ID removes the barrier entirely — if your phone is unlocked, you're in.
Why colour-coded cards?
Colour is faster to scan than text. Instead of reading every note title, you see urgency by colour instantly. One deliberate decision that changes how the whole app feels.
What was left out intentionally?
Folders, tags, search, sharing, collaboration. Each one was deliberately removed — because the core job is: write it, don't forget it.
The problem
What's the real insight?
Most fitness apps are built around goals and programs. FitLog is built around one thing: showing you your own pattern. No goals, no pressure — just your data, clearly laid out.
Why AI for cardio parsing?
Cardio data is messy — different apps export it differently. Instead of building 10 integrations, one AI prompt handles all formats. Deliberate use of AI where it reduces friction, not as a gimmick.
North star metric
Streak length. If users are logging every day, the app is genuinely useful. Streak is a proxy for habit formation — which is the real job here.
Key decisions
Why six time ranges?
Different questions need different lenses. "Am I consistent?" needs weeks. "Is this month better?" needs months. Six ranges, one tap each.
Why dark mode first?
Most gym logging happens in poorly lit spaces — gym floors, early mornings. Dark mode isn't aesthetic here, it's functional.
What was left out intentionally?
Social features, workout programs, nutrition tracking. Each one makes the product harder to start. FitLog is a logger, not a coach. Knowing the difference is the product decision.

I build things to solve real problems — at work and on weekends. If that sounds like someone you'd want on your team, let's talk.

Product thinking
How to start developing a Product Sense — and why it has nothing to do with being a PM
Product Sense isn't a skill you learn in a course or pick up from a framework. It's closer to a muscle — one that most people never train deliberately because they don't realise it's separate from the job itself. Here's how to actually build it.
Read the post
Mar 2026 · 7 min read

Writing is how I think out loud. If something here resonated, I'd love to continue the conversation.

How to start developing a Product Sense — and why it has nothing to do with being a PM

Most people confuse Product Sense with product management. They're not the same thing. Product management is a job. Product Sense is a way of seeing — and you can develop it whether you're a PM, an engineer, a designer, or someone who's never worked in tech at all.

I've met PMs with five years of experience who have almost no Product Sense. And I've met fresh graduates who walk into a product review and immediately ask the question that cuts to the core of the problem. The difference isn't experience. It's a habit of attention that one person has cultivated and the other hasn't.

Product Sense is the ability to look at something — an app, a service, a physical experience — and instinctively understand what's working, what isn't, and why. More importantly, it's knowing what to fix first.

The good news is that it's trainable. Here's how I think about building it deliberately.

Step 1 — Become a dissatisfied user

Do this now
Pick one app you use every day. Spend 15 minutes using it as if it were your job to break it.

Where does it slow you down? What do you tap on by habit, even though it doesn't quite do what you want? What would you remove? Don't read about it — use it, feel the friction. Write three things down. Not features — feelings. "This feels slow." "I never know where I am." "I always misread this button."

Most people use products on autopilot. Product Sense starts when you switch off autopilot and start noticing. You're training your brain to register friction instead of ignoring it.

Step 2 — Ask "why does this exist?" not "what does this do?"

Do this now
Take any feature in any product and ask: what problem was someone trying to solve when they built this?

Not what the feature does. Why it exists. Instagram's Close Friends list — what was the problem? YouTube's autoplay — what user behaviour were they trying to change? LinkedIn's "People Also Viewed" — who does this actually serve? Asking "why does this exist" forces you into the problem space. That's exactly where Product Sense lives.

Step 3 — Observe real people, not personas

Do this now
Watch someone who is not you use an app you think you understand well. Say nothing. Just observe.

Watch your parents use Google Pay. Watch a friend book a flight. Watch a child use YouTube. You will immediately see things you've never noticed. Where they pause. What confuses them. What they do differently from you. Real observation destroys assumptions faster than any amount of data analysis. Do this once a week if you can.

Step 4 — Develop taste by consuming deliberately

Do this now
Every time you encounter a product experience — digital or physical — that feels effortless, stop and ask: what made that effortless?

A hotel check-in that was surprisingly smooth. A government form that was actually clear. A restaurant menu that made ordering easy. Product Sense is built from a library of moments — both good and bad — that you've paid attention to. The library only grows if you're actively adding to it. Most people let these moments pass. Don't.

Step 5 — Practice articulating the trade-off

Do this now
Take any product decision you've noticed — a redesign, a new feature, a removal — and articulate the trade-off in one sentence.

Not "they added a dark mode." But: "they chose to invest engineering time in a feature that deepens engagement for existing power users, at the cost of simplicity for new ones." Every product decision is a trade-off. The moment you can see the trade-off clearly, you're thinking in product. This is the core of Product Sense — not knowing what to build, but knowing what you're giving up when you build it.

The honest thing about Product Sense

It takes time. There's no shortcut. But the single fastest accelerant I've seen is this: stay in the problem longer than feels comfortable. Most people jump to solutions — it feels productive, it feels smart. Sitting with a problem, turning it over, asking why it exists, who it really affects, what would change if it disappeared — that is the work. Everything else follows from that.

You don't develop Product Sense by reading about products. You develop it by paying a different kind of attention to the world you already live in.

Product craft
Strategy & roadmapping User research Agile / Scrum Prioritisation frameworks Go-to-market
Growth & experimentation
A/B & multivariate testing Acquisition & retention Funnel optimisation CLM platforms Personalisation
Data & analytics
SQL Tableau / Power BI Google & Adobe Analytics Adobe Target · VWO Mixpanel
AI & building
GenAI / LLMs Prompt engineering HTML / CSS / JS Supabase · GitHub · Netlify Figma · Wireframing
2021
MBA
Indian Institute of Management (IIM), Nagpur
2019
B.Tech, Industrial Engineering
BIT Sindri, Dhanbad
Full CV
Five years, four companies, one document.

"Whether it's a role, a collaboration, or just a good conversation about building things — I'm always open to it."

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Gaurav Kishore Powered by Claude · Ask me anything
Hey! I'm Gaurav — ask me anything about my work, projects, background, or how I think about product. Happy to answer.
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