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