---
title: "Peeyush Vardhan - Lead Product Manager in Bengaluru | Tal"
description: "Meet Peeyush Vardhan, Product at ThoughtSpot | Data, AI and Platforms | Ex-MoEngage, Walmart based in Bengaluru. AI stack includes anthropic apis, claude code, and claude. Explore public work links including github."
image: "https://tal.club/meet/peeyush-vardhan/share-image"
---

# Peeyush Vardhan on Tal

## Headline

Product at ThoughtSpot \| Data, AI and Platforms \| Ex\-MoEngage, Walmart

## About

I build AI\-powered enterprise products that turn analytics features into standalone revenue engines\. At ThoughtSpot, I own three products across a 28\-member engineering org: SpotterPrep \(our first AI data preparation agent\), SpotCache \(intelligent query caching that cuts warehouse costs by up to 50%\), and a native Spreadsheet experience on live data that generated $10M in new pipeline within 3 months of launch\. Before ThoughtSpot, I led MoEngage’s analytics product line from an add\-on feature to a $5M ARR revenue engine — launching Product Analytics and Customer Journey Analytics as standalone offerings, building their first Gen AI analytics platform, and taking platform retention from 17% to 80% in 6 months\. What I’m known for: • Taking products from 0\-to\-1 and scaling them into revenue lines • Shipping AI/ML products \(agents, conversational AI, anomaly detection, ML segmentation\) • Deep technical fluency in data infrastructure \(query engines, caching, ETL, data modeling\) • Leading cross\-functional teams of 26\-28 engineers, designers, and PMs Previously: Product Manager at Walmart Global Tech and Condé Nast \(SPIRE recommendations platform, DASH BI platform\)\. MS in Data Science from UT Austin McCombs\. I also train 500\+ professionals in Product Management and guest lecture at IITs\. Open to connecting on: AI in enterprise analytics, building data products, 0\-to\-1 product strategy, and the future of BI platforms\.

## Location

Bengaluru

## AI stack

anthropic apis

claude code

claude

cursor

langchain

openai

## Work experience

Lead Product Manager at ThoughtSpot, May 2025 \- Present · 1 yr 4 mos, India, I lead AI and new product initiatives for Data Studio at ThoughtSpot, owning the strategy, roadmap, and execution for our most forward\-looking capabilities across data prep, coding automation, and quality intelligence\. 0→1 AI Product: Lumos • Lumos \- AI Coding Agent: Building a multimodal SQL and Python companion for Analysts & Data Scientists that automates EDA, coding workflows, and analysis generation within Analyst Studio\. • Lumos \- Data Quality Intelligence: Designing an autonomous agent that detects anomalies, surfaces data issues, and generates actionable fixes using LLM\-powered reasoning\. • Data Prep at Scale: Leading the new Spreadsheets for Data Prep experience, a complete rethink of how analysts clean, transform, and shape data through an intuitive, spreadsheet\-native workflow with AI augmentation\. External Data Ecosystem • Owning the expansion of our import platform with Google Drive, Microsoft \(OneDrive/SharePoint\), Excel, and flat\-file pipelines; creating a unified, multi\-cloud ingestion layer that bridges Analyst Studio with enterprise data sources\.

Lead Product Manager at MoEngage, Aug 2022 \- May 2025 · 2 y 9 mo, India, Leading Product, Stratgey and Growth of MoEngage Analytics \- Built AI copilots for Analytics, Segmentation and Dashboards \- Global Market Expansion of MoEngage Analytics as a new B2B SaaS product \- Mentoring 2 PMs and leading a 28\-member cross\-functional agile team Responsibilities: \- Leading MoEngage Analytics product and business for 1 of the top 4 product lines of the company; own full product lifecycle by leading a 16\-member team of product developers, designers, and quality engineers, delivered 1 new product and 5 new features that improved user flow funnels, and enhanced platform experience\. \- Developed a 3\-year\-long product roadmap of MoEngage AI Analytics focusing on Conversational AI, tech reliability, and growth strategy by introducing new 0\-1 products, product adoption strategy, and technology re\-architecture\. \- Spearhead the conceptualisation, development and launch of 0\-1 products and scaled the existing products from 10\-100, resulting in a 38% increase in customer retention within the first year\. \- Introduced a comprehensive 4\-quarter plan to enhance the product experience by implementing a new UX, learning community, CS and sales enablement, video tutorials, and a 2\-stage GTM plan to ensure seamless product adoption\. \- Launched new product packaging and global pricing plan, and established the new GTM process ensuring a stellar user experience for a diverse global audience spanning IN, US, EU, SEA, META, and LATAM\. Highlights: \- 3 Quarter achievements: Acquisition growth: 70\.14%▲, Engagement Growth: 89\.07%▲, Average CSAT ▲: from 3\.34 to 4\.13 with 62% high satisfaction users, NPS ▲: 7\.5 to 9 \- Formulized Pricing Strategy for MoEngage Analytics and launched Product Subscription modules as Trial, Basic, and Advanced\.

Product Manager at Walmart Global Tech, Mar 2022 \- Aug 2022 · 6 mos, Bengaluru, Karnataka, India, Product: Walmart Galaxy \| Business Unit: People Tech • Building an AI\-powered Talent Marketplace \- Walmart Galaxy to offer seamless Talent Acquisition, Talent Management, and Workforce Exchange\. • Leading the Hiring Hub experience from India\. Partnered with the global UX research team to establish key user personas and introduced the mind maps concept to define new associates’ needs\. • Defined essential requirements for MVP and assisted the product leadership team in preparing the FY23 roadmap of Galaxy\. • Led a team of core design and engineering folks based in the USA and India to launch the MVP\-1 of the user onboarding experience in Walmart Galaxy\.

Associate Product Manager at Condé Nast, Jan 2020 \- Mar 2022 · 2 yrs 3 mos, India, Responsibilities included product and program management for global data teams, and products – SPIRE, DASH, and Data Studio Lab SPIRE \(Condé Nast’s proprietary smart recommendations and targeting platform for Marketers\) • Led the development of Condé Nast SPIRE, a first\-party data management platform, and developed the product roadmap for cookieless targeting, AI\-driven audience insights, and cross\-channel engagement delivering 3x higher return average on ad spend\. • Designed and deployed an ML\-based segmentation engine that leveraged over one trillion data points monthly from Condé Nast’s digital ecosystem and offered 48% increased efficiency in audience targeting\. • Managed a 16\-member global cross\-functional team with data scientists, engineering, and sales to build Spire’s AI\-driven segmentation engine\. DASH \(Condé Nast’s central Business Intelligence and Analytics Platform\) • Led product roadmap, development, and launch of central intelligence platform DASH 2\.0, and delivered an increase in DAU by 50%, 3x number of reports viewed, and an 80% decrease in time\-to\-insights\. • Led the development of a data traceability and audit dashboard for the global consumer revenue division—improved ETL blockers by 60% for global data pipelines\. Platform Growth at CN Data Lab \(Condé Nast’s creative team focusing on eCommerce, content search, and user engagement\.\) • Founding team member of Conde Nast Data Lab with diverse members from India, USA, France, and the UK; achieved a 200% increase in content consumption by GenZ and Millennial users, and a 15% uplift in subscription conversion rates\. • Spearheaded user engagement and retention through creative content visualization by planning, building, and launching the content for a global audience for Vogue, GQ, and Architectural Digest on Condé Nast’s owned platforms\.

Presales consultant at Photon Infotech, May 2018 \- Dec 2019 · 1 y 7 mo, Chennai

## Education

Master of Business Administration, \[Dropout\], Cornell Johnson Graduate School of Management

Master of Science \- MS, Data Science, The University of Texas at Austin

## Public links

- github: https://github\.com/peeyush\-vardhan

[View the original profile](https://tal.club/meet/peeyush-vardhan)

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