Product Manager — Consumer journeys · Growth · Marketplaces
Open to Consumer · Growth · Fintech PM roles
I find where users drop off, and fix the journey.
Four years owning end-to-end journeys at a ₹150 Cr+ ARR marketplace — from discovery and decision-making to checkout and repeat use. I lead the User pod of 8 engineers, 2 designers and 2 PMs, and I build with AI on the side.
Shipped at Techjockey — tap a number for the story
Shipped work
At Techjockey. Each card opens the problem, what I did and the result.
Four pages a buyer passes through on the way to a decision, each rebuilt on the same rules: decision-driving information first, nothing shown without data behind it, one clear next step.
I moved Techjockey's buyer messaging from CleverTap to MoEngage and rebuilt it around what each buyer had just done. Every key moment (cart, payment, demo, call) got an email about that moment, and three lifecycle journeys went live: welcome, re-engagement (personalised by the buyer's last category) and win-back, with follow-ups planned by lead source. The returning-user rate rose from 10% to 18% within 90 days, with a 5% journey CTR.
10% → 18%Returning-user rate within 90 days
Read how →After Search Console flagged layout-shift and loading problems, I led a Core Web Vitals sprint with engineering that went through Techjockey's page templates in priority order (category, product, blog, home, compare, alternatives, reviews) on desktop and mobile. Performance scores rose from 50 to 90+ on desktop and from 40 to 85+ on mobile. This coincided with bounce rate falling from 45% to 32% and organic traffic growing 25% year on year.
40 → 85+Mobile performance score
Read how →The Lead Distribution Algorithm (v2.0, then v3.0) replaced hand-picking vendors from a queue with a rules engine. It waits until each lead is complete, matches it to the best-fit vendors by category, and paces vendors fairly against what their plan promised. Lead assignment dropped from about 7 hours to about 3 minutes, the lead qualification rate doubled in HR, CRM and accounting categories, and every routing decision is logged in the CRM.
7 hrs → 3 minLead assignment time, manual queue → automated
Read how →Building
Built and run end to end: working products and a startup I co-founded, not specs.
An AI-assisted hiring platform: every applicant gets a scored first-round voice interview in the browser within hours of applying, with no recruiter on the call.
In partnership with
NIFT DelhiMiranda House, DU
The startup idea I lived in college: an online shared rental closet for everyone. Why buy? Just rent! 2nd Runner-Up among 80 ideas at Startup Weekend 2020 (Techstars × Google), until Covid-19 stopped it.
Replaces the manual product-listing workflow for e-commerce ops — less catalogue effort, more accurate listings.
Experience
The short version. Full resume ↓
May 2022 — Present
Current
India's ₹150 Cr+ ARR software marketplace. Promoted from Associate PM; lead the User pod — 8 engineers, 2 designers, 2 PMs — reporting to the CPO.
Sep 2021 — Nov 2021
Noida
Nov 2019 — Mar 2020
A student startup idea, in partnership with NIFT Delhi and Miranda House, DU: an online shared rental closet for everyone. Why buy? Just rent! Tried until Covid-19 stopped it in March 2020.
cloudcloset.netlify.app (opens in a new tab)2018 — 2022
SGPA 8.69
Case studies
Self-directed case studies on consumer apps — proposals, not shipped results. Each opens a full breakdown and the original PDF.
ProposalTata 1mg · Healthtech
How can Tata 1mg increase user retention and engagement on its app?
Read case study →14-slide deck
ProposalYouTube Shorts · Video
Why do viewers exit Shorts — and what would keep them watching?
Read case study →15-slide deck
ProposalInstagram · Creator economy
How can Instagram influencers earn revenue directly from their audience, beyond ads and brand partnerships?
Read case study →13-slide deck
ProposalHealthifyMe · 3 iterations on one brief
One PM case brief, three iterations: from a recovery-first adherence engine to an execution layer that turns plans into delivered food.
Writing
Long-form notes on the frameworks and metrics behind everyday product calls.
, 6 min
Page speed is a key product lever, not just a technical task: slow pages lose users, conversions and search rankings. What to fix, track and aim for.
Page speedSEO
, 6 min
The seven user-side metrics product managers should track — engagement, retention, conversion, satisfaction, feature usage, behavior and performance.
Product metricsAnalytics
, 3 min
When you think of a brilliant product manager (PM), you might think of Steve Jobs as a visionary. He defies the established quo and follows his instincts to…
Critical thinkingFramework
, 9 min
Have you ever worked on a project and wondered how much progress and effect you made with all of your efforts? Have you ever been tasked with prioritizing the…
Critical thinkingPrioritization
, 6 min
The decision-making process in design has long been a prominent topic of discussion. Why do some designers make decisions that others do not, and why do…
Decision makingDesign
About
Background
Four years at Techjockey — India's ₹150 Cr+ ARR software marketplace — owning end-to-end user journeys, from discovery and decision-making through checkout and post-transaction engagement. I lead the User pod: 8 engineers, 2 designers and 2 PMs, reporting to the CPO.
My work starts with structured research — interviews, usability tests, session recordings — and moves through close design partnership into data-informed experiments. GA4, SQL, MoEngage, Hotjar and Clarity are daily instruments.
Off the roadmap I build hands-on with AI — most recently Techjockey Recruit, a hiring platform with AI voice screening — and write product case studies on consumer apps like HealthifyMe, Tata 1mg, Instagram and YouTube Shorts.
Currently
Building Techjockey Recruit — live at swiftcandidate.com — and writing about product and growth on Medium.
Five rules I keep coming back to. Each one comes from a project above, so you can check it.
Subtract before you add
The checkout went from 12 steps to 3 mostly by removing things: any step a buyer didn't need was skipped, and login and payment were left untouched so the riskiest systems stayed out of scope.
Where I learned it: Checkout redesign →Design the journey, not the page
Buyers decide across category, product and compare pages, so I treated them as one decision journey: the information that drives a purchase first, and the same thing looking and behaving the same everywhere.
Where I learned it: Category, product & compare pages →Fix the system, not the instance
Page speed is set by templates, not individual pages. Fixing the template behind each page type fixes every page built on it, so the sprint ran template by template, ranked by importance.
Where I learned it: Core Web Vitals sprint →Let intent write the message
What a buyer just did, and where they came from, already says what they need next. Messages follow that intent instead of a calendar.
Where I learned it: Lifecycle journeys →Make fairness something you can explain
Fair isn't round-robin, it's pacing: every vendor gets leads in step with what their plan promised. One principle anyone can check, and every routing decision is logged.
Where I learned it: Lead distribution →The things recruiters usually ask first, answered in a few lines.
I'm a consumer product manager at Techjockey, India's ₹150 Cr+ ARR software marketplace. I own buyer journeys end to end: discovery, the pages where buyers decide, checkout, and what happens after a purchase. I lead the User pod of 8 engineers, 2 designers and 2 PMs, and report to the CPO.
A checkout rebuilt from 12 steps to 3 (monthly transactions up 80×, ₹4 Cr incremental GMV); category, product and compare pages rebuilt as one journey (organic conversion 2% → 4.5%); lifecycle journeys that lifted the returning-user rate from 10% to 18% in 90 days; a Core Web Vitals sprint (mobile score 40 → 85+); and a lead distribution engine that cut assignment from 7 hours to 3 minutes.
Checkout →Decision pages →Lifecycle →Core Web Vitals →Lead distribution →
Research first: interviews, usability tests and session recordings to find exactly where users drop off and why. Then a diagnosis, the options with their trade-offs, a decision, and an experiment wherever one is possible. Each shipped case on this site walks through that in a "How I made the call" section.
No. Shipped work is what I built at Techjockey, with measured results. The case studies (Tata 1mg, YouTube Shorts, Instagram and HealthifyMe) are self-directed proposals: research, personas, prioritised features and launch plans, not shipped results.
Yes, hands-on. I built Techjockey Recruit, a hiring platform where every applicant takes a scored first-round AI voice interview in the browser (live at swiftcandidate.com), and an internal product-listing tool on N8N and Claude.
Delhi NCR, India. Yes: I'm open to product manager roles in consumer, growth, marketplace and fintech products. Email is the fastest way to reach me.
Contact
