---
title: "Ayush Gupta - Product Manager in Bengaluru | Tal"
description: "Meet Ayush Gupta, Product @ Motorola Solutions based in Bengaluru. AI stack includes codex and cursor. Explore public work links including github."
image: "https://tal.club/meet/ayush-gupta-7/share-image"
---

# Ayush Gupta on Tal

## Headline

Product @ Motorola Solutions

## About

I build products at the intersection of AI, communications, and growth\. Product Manager at Motorola Solutions, working within the Unified Communications organization on enterprise product strategy and execution\. Before this: founding PM across two pre seed generative AI startups\. Two years, zero playbook, full ownership of product, growth, and execution\. → StylePass AI \(B2B SaaS, virtual try on for D2C fashion brands\) Took add to cart rates from 2 to 3% up to 6 to 9%\. Three times the industry average\. Cut onboarding from five days to one\. Reduced cloud costs by 80%\. → Yonder Wonder AI \(consumer generative AI app\) 51K\+ installs and 4x DAU growth in under four months\. Cut AI pipeline costs by 85%\. Recognized by the CEO of Samsung Electronics and the Chief Minister of Uttar Pradesh for contributions reflecting impact and leadership\. Represented India as a G20 Delegate, contributing to policy discussions on DigiShakti, and was twice selected as an HPAIR Delegate across Cambridge and Tokyo\. Academic background: dual degree in Data Science at IIT Madras, alongside a BTech in Computer Science from the University of Lucknow\. Outside of product, I'm a competitive powerlifter \(475kg total\), training and documenting the process daily\. I ship fast, operate independently, and build products that move real numbers\. Open to connecting with PMs, founders, and operators working in AI, SaaS, and growth\.

## Location

Bengaluru

## AI stack

codex

cursor

## Work experience

Product Manager at Motorola Solutions, Jun 2026 \- Present · 3 mos, Bengaluru, Karnataka, India

Founding Product and Growth Manager at StylePass, Inc\., Mar 2026 \- Apr 2026 · 2 mos, Saratoga, California, United States, Identified drop\-offs driven by low fit confidence, redesigned the try\-on experience and ran funnel experiments across 5 storefronts, lifting add\-to\-cart from 2–3% to 6–9% \(3× industry avg\) and reducing onboarding time\-to\-live from 5 days to 1\. Identified that traditional PM work was repetitive and execution\-heavy; built an AI\-driven ops stack automating design reviews, content ops, SEO/GEO, influencer sourcing and outreach, and code reviews, compressing a week of execution into a day and operating at the level of a small cross\-functional team as a single PM\. Faced low client trust during a live production failure, took ownership as the primary point of contact, simplified technical issues for non\-technical founders, and coordinated recovery with engineering, ensuring client retention and continued usage\. Faced low brand conversion due to unclear ROI, built and validated 20\+ ROI models with unit economics and delivered case studies across brands, shaping pricing strategy, accelerated through AI\-driven workflows to drive B2B pipeline and investor conversations\.

Founding Product & Growth Manager at Yonder Wonder, Feb 2025 \- Feb 2026 · 1 yr 1 mo, Boston, Massachusetts, United States, Led the evolution of YonderWonder\.AI across two product phases—scaling the Face Effects website from 0 → 1,000\+ users and the WeClick app from 0 → 10,000\+ users—owning roadmap, MVPs, execution, and rapid iteration across the full product lifecycle\. Optimized the entire activation → generation funnel by removing friction across login, onboarding, image selection, and retry flows; reduced drop\-offs by 40–60%, lifted continuation rates from 26% → 58%, and doubled generation completions\. Architected major upgrades to the AI pipeline—Qwen\-LoRA integration, LLM\-driven prompt refinement, preprocessing heuristics, and multi\-model routing—reducing inference cost by 85%, improving high\-quality outputs by 90%\+, and enabling 2 → 8 person multi\-user generation\. Built a complete quality monitoring stack \(dashboards, failure\-tagging, regression alerts, annotation workflows\), compressing feedback\-to\-fix cycles by 50%\+ and raising user satisfaction from 2\.0 → 3\.9 through daily ML tuning\. Owned cross\-functional product execution, prioritizing the backlog, running 30\+ days of daily sprints, aligning engineering/ML/design/growth teams, and replacing Jira/ClickUp with a $0 custom Sheets \+ Slack\-bot system that increased execution speed\. Scaled multi\-country acquisition \(India, US, Canada\) through continuous experimentation, influencer GTM, referral loops, and creative testing; delivered 10,000\+ installs, 20,000\+ in\-app actions, and maintained a blended $0\.18 CPI\. Partnered on backend and infra scaling—evaluating Redis vs DynamoDB, Flask vs FastAPI, deploying multi\-region CDNs, load\-aware queueing, and autoscaling—to improve reliability under high concurrency while reducing latency and server cost\. Automated QA across web and mobile via a custom Selenium suite, cutting manual testing effort by 90%\+ and accelerating release cycles\. Represented YonderWonder\.AI at WAVES 2025, engaging creators and industry leaders to refine positioning and product\-market fit\.

Product Management Intern at Yonder Wonder, Nov 2024 \- Jan 2025 · 3 mos, Boston, Massachusetts, United States, Scaling & Sculpting the future of AI\-powered editing :\)

Software Engineer Intern at Oil and Natural Gas Corporation Limited \(ONGC\), Jul 2024 \- Jul 2024 · 1 mo, Dehradun, Uttarakhand, India, \- Stirling PDF Deployment: Implemented and customized Stirling PDF software on Windows systems using executable files and Docker containers\. \- Technical Configuration: Tailored the installation process with UI modifications and security settings, ensuring an optimized and user\-friendly interface\. \- Docker Management: Deployed and managed Docker containers to streamline the setup process and ensure consistency across platforms\. \- Documentation & Support: Authored detailed guides and troubleshooting solutions to assist users in efficient software deployment and issue resolution\.

Influencer Growth & Operations Intern at Paytm, Apr 2024 \- Jul 2024 · 4 mos, Noida, Uttar Pradesh, India, Saw Paytm Wallet usage drop as users shifted to PhonePe and Google Pay, ran influencer campaigns and supported referral and cashback initiatives, contributing to a 70% lift in wallet conversions\.

## Education

Bachelor of Science \- BS, Data science and its applications, Indian Institute of Technology, Madras

Bachelor of Technology \- BTech, Computer Science and Engineering, University of lucknow

## Public links

- github: https://github\.com/Ayush77\-G

[View the original profile](https://tal.club/meet/ayush-gupta-7)

```json
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Person",
      "@id": "https://tal.club/meet/ayush-gupta-7#person",
      "name": "Ayush Gupta",
      "url": "https://tal.club/meet/ayush-gupta-7",
      "image": "https://tal.club/meet/ayush-gupta-7/profile-photo.jpg",
      "description": "Meet Ayush Gupta, Product @ Motorola Solutions based in Bengaluru. AI stack includes codex and cursor. Explore public work links including github.",
      "jobTitle": "Product Manager",
      "worksFor": {
        "@type": "Organization",
        "name": "Motorola Solutions"
      },
      "hasOccupation": {
        "@type": "Occupation",
        "name": "Product Manager"
      },
      "homeLocation": {
        "@type": "Place",
        "name": "Bengaluru"
      },
      "alumniOf": [
        {
          "@type": "EducationalOrganization",
          "name": "Indian Institute of Technology, Madras"
        },
        {
          "@type": "EducationalOrganization",
          "name": "University of lucknow"
        }
      ],
      "knowsAbout": [
        "codex",
        "cursor"
      ],
      "sameAs": [
        "https://github.com/Ayush77-G"
      ],
      "mainEntityOfPage": {
        "@id": "https://tal.club/meet/ayush-gupta-7#webpage"
      }
    },
    {
      "@type": "ProfilePage",
      "@id": "https://tal.club/meet/ayush-gupta-7#webpage",
      "url": "https://tal.club/meet/ayush-gupta-7",
      "name": "Ayush Gupta on Tal",
      "description": "Meet Ayush Gupta, Product @ Motorola Solutions based in Bengaluru. AI stack includes codex and cursor. Explore public work links including github.",
      "dateModified": "2026-08-01T20:39:41.550Z",
      "isPartOf": {
        "@id": "https://tal.club/#website"
      },
      "mainEntity": {
        "@id": "https://tal.club/meet/ayush-gupta-7#person"
      },
      "primaryImageOfPage": {
        "@type": "ImageObject",
        "url": "https://tal.club/meet/ayush-gupta-7/profile-photo.jpg",
        "contentUrl": "https://tal.club/meet/ayush-gupta-7/profile-photo.jpg",
        "caption": "Ayush Gupta profile photo on Tal"
      },
      "inLanguage": "en-IN"
    }
  ]
}
```