---
title: "Atishay Jain - Product Manager in Gurugram | Tal"
description: "Meet Atishay Jain, Noon | Ex - Zomato, American Express | Open to Work based in Gurugram. AI stack includes anthropic apis, claude code, and claude."
image: "https://tal.club/meet/atishay-jain-6/share-image"
---

# Atishay Jain on Tal

## Headline

Noon \| Ex \- Zomato, American Express \| Open to Work

## About

I'm currently working in Noon's Commercial Analytics Team where I'm working on Attribute Enrichment for SKU's listed on Noon and Cross Border B2B2C Program Management\. My skillset which I use here includes SQL, Looker Dashboards, G\-sheets, and automation using AI, Python and Gitlab\. Email: atishay21@gmail\.com Topmate Link : https://topmate\.io/atishay\_jain13/

## Location

Gurugram

## AI stack

anthropic apis

claude code

claude

railway

replit

Vercel AI SDK

## Work experience

Product Manager at noon, Jan 2026 \- Present · 9 mos, Key Project: Globalship — B2B2C Cross\-Border Shipment Portal ● Owned the end\-to\-end product roadmap and BRDs for Globalship, a shipment\-creation portal for 550\+ sellers on the India\-UAE cross\-border program — covering UI/UX, API performance, pricing logic, invoicing, and LMS integration\. ● Directed launch planning and cross\-functional delivery, partnering across Retail, Logistics, Finance, and Tech to keep pricing, invoicing, and logistics\-system integration aligned with business goals\. ● Scaled the program to process 56,790 shipments and 30,608 orders in a single month \(Feb 2026\), generating AED 2\.97M\+ GMV across 226 active sellers and 22,149 SKU configurations — roughly 2\.08% of platform GMV\. Key Project: Noonshot App — AI\-Powered Catalog Ingestion for Sellers ● Owned end\-to\-end product for Noonshot, a seller\-facing app enabling direct catalog listing via PSKU/PID and product images, with AI auto\- generating descriptions and visuals — driving UI/UX, backend/API integrations, and the seller onboarding funnel\. Key Project: Listing Quality Score — AI\-Recommended Content Improvements \(Seller Lab\) ● Led a multi\-phase, data\-backed investigation into the catalog content\-sales relationship — regression analysis across 9 product categories \(\~375K SKUs\), later cross\-checked against 129M search impressions over 4 weeks — uncovering that stronger content lifts sales primarily by improving product visibility in search rather than directly persuading shoppers to click or buy\. Key Project: Cybertron Revamp & Catalog X\-tract — Self\-Serve PDP Scraper ● Led the UI/UX revamp of Cybertron, Noon's internal self\-serve ops platform \(Ticket Hub, Rich Content, Seller Info, Taxonomy, and 10\+ other tools\), and owned the roadmap for its newest capability, Catalog X\-tract — a self\-serve PDP scraper letting teams create SKUs directly from external product pages\.

Senior Business Analyst at noon, Apr 2025 \- Dec 2025 · 9 mos, ● Led a cross\-border catalog ingestion program for international markets: built scalable SQL and Python pipelines for data cleaning, brand mapping, and taxonomy prediction to onboard millions of SKUs; defined KPIs, tracked post\-launch quality, and drove iterative improvements\. ● Owned an AI\-driven attribute enrichment program, achieving >40% attribute fill rates across 10M\+ configs; built a GPT\-4o\-mini–powered automation for data input/retrieval that cut manual enrichment effort by 4\+ hours, establishing a continuous auto\-enrichment pipeline for newly listed SKUs and improving delivery of product information to global customers\.

Product Analyst at Zomato, Jul 2023 \- Oct 2024 · 1 yr 4 mos, Gurugram, Haryana, India, ● Built market and supply analytics and a data\-driven city\-launch framework informing Zomato Dining expansion decisions, contributing to 50% month\-on\-month revenue growth; launch markets went on to contribute 10\-12% of overall Dining GMV\. ● Built a T\-1 coverage view for each Key Account Manager, surfacing per\-restaurant slot coverage in peak lunch and peak dinner — Table Reservations' highest\-GMV windows, where coverage sat under 30% — and drove a program pushing restaurants to at least 50% peak\-slot coverage, alongside slot\-span reduction and cover\-charge analysis that cut commission impact by \~70%\. ● Grew Table Reservations GMV from \~₹100cr to \~₹200cr through the coverage program, lifting TR's contribution to overall Dining GMV from 40% \(₹250cr overall\) to 50% \(₹400cr overall\)\. ● Defined requirements for and launched a real\-time MIS/GMV dashboard for Zomaland / NYE 2023, tracking INR 10Cr\+ in ticket sales and giving senior leadership live visibility during a high\-stakes live program\. ● Partnered with Product Managers and Tech to define tracking requirements and diagnose funnel drop\-offs — moving the Bookings\-to\- Transactions rate from 32% to 51% for non\-paid bookings\. ● Led a consumer\-insights study across Dining categories, isolating Quick Bites and coffee\-led formats as the highest\-retention segment, driven by low AOV and habit\-forming, near\-daily purchase behavior — the finding shaped downstream investment in Dining Maps discovery and a Starbucks integration to capture that habitual coffee\-run behavior\. ● Directed the design of automated reporting pipelines using GitHub and Apache Airflow DAGs\.

Senior Business Systems Analyst/ Product Owner at American Express, Aug 2022 \- Jun 2023 · 11 mos, Gurugram, Haryana, India, ● Defined the end\-to\-end late\-stage collections lifecycle \(account intake → digital contact via email/SMS/call → promise\-to\-pay capture → payment collection\) for American Express's Global Servicing Group, and built 'Digital Metrics MIS' — a new KPI framework and MIS reporting suite \(Right\-Party\-Contact rate, inbound/outbound contact volume, promise fulfillment\) covering a \~$1B collections portfolio split across 85% outside agencies and 15% in\-house recovery\. ● Ran an apples\-to\-apples comparison of call\-only, email\-only, and call\-plus\-email channels to quantify how digital adoption affected collection efficiency versus the traditional Call & Collect segment, then delivered content and UX recommendations to agency partners — personalization, CTA clarity, template messaging, and NPS tracking — to lift digital\-channel performance\. ● Acted as Product/Program Owner for production report migration to the Big Data Platform, achieving a 98% match rate between legacy and new system outputs; awarded the Quarterly Performance Award\. ● Directed the Big Data transformation of SAS codebases to HiveQL/SparkSQL, reducing pipeline run times by 100%; recognised with a second Quarterly Performance Award\.

Business Analyst at American Express, Aug 2021 \- Jul 2022 · 1 yr, Gurugram, Haryana, India, Global Servicing and Operational Excellence \- Risk Processes MIS & Analytics

Business Analyst Intern at American Express, Jan 2021 \- Jun 2021 · 6 mos, Gurugram, Haryana, India, Chosen as the sole recipient out of over 900 applicants for this position

## Education

Bachelor of Engineering \- BE, Computer Science and Engineering, Thapar Institute of Engineering & Technology

12th, Mathematics and Computer Science, ryan international school

[View the original profile](https://tal.club/meet/atishay-jain-6)

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