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