---
title: "Aman Verma - Associate Product Manager in Greater Delhi Area | Tal"
description: "Meet Aman Verma, AI First Product Manager | Mobile Apps & D2C Products | SaaS | Product Builder | Driving Customer-Centric Growth Through Data, Prioritization & Execution based in Greater Delhi Area. AI stack includes claude, deepseek, and gemini."
image: "https://tal.club/meet/aman-verma-23/share-image"
---

# Aman Verma on Tal

## Headline

AI First Product Manager \| Mobile Apps & D2C Products \| SaaS \| Product Builder \| Driving Customer\-Centric Growth Through Data, Prioritization & Execution

## About

What makes users come back to a product every day? The answer lies at the intersection of User Empathy, Data, Technology, and great Product Management\. I am a Product Manager with 7\+ years of professional experience, including 4\+ years in Product Management, building and scaling consumer\-facing digital products at SAP Labs and Noise\. Currently, I lead product initiatives for the NoiseFit App, consistently ranked among the top\-rated apps on Android and iOS\. My journey started with a simple question: Why do users love some products and abandon others? That curiosity evolved into a passion for Product Management, UX Design, User Research, Analytics, Feature Planning, and Problem Solving\. Over the years, I have worked across the complete product lifecycle—from identifying customer pain points and conducting user research to defining roadmaps, writing PRDs, creating wireframes, collaborating with cross\-functional teams, and launching impactful features\. Key Product Impact ✅ Increased DAU by 20% through strategic feature launches\. ✅ Increased MAU by 10% by improving user engagement and retention\. ✅ Built and launched a Rewards Store generating an average revenue of ₹1 Crore per month\. ✅ Increased average user engagement from 85 seconds to 121 seconds\. ✅ Improved UX and redesigned the Help & Support experience, contributing to app rating growth from 3\.4 ⭐ to 4\.4 ⭐\. ✅ Built backend management capabilities and operational workflows to improve scalability and efficiency\. What I Bring to the Table \- Product Management \- Product Strategy & Roadmap Planning \- Feature Prioritization & Feature Planning \- User Empathy & Customer\-Centric Thinking \- User Research & Customer Insights \- UX Design & User Experience Optimization \- Analytics & Data\-Driven Decision Making \- Cross\-Functional Team Leadership \- Problem Solving & Structured Thinking \- Presentation Skills & Stakeholder Management \- Communication Skills & Collaboration AI\-First Product Mindset I actively leverage AI\-powered tools and workflows to improve product discovery, prioritization, execution, documentation, and decision\-making\. I believe the future belongs to product teams that can effectively combine human insight with AI capabilities\. I am passionate about building products that solve meaningful problems, delight users, and create measurable business impact\. 🌱 Continuously learning\. Constantly experimenting\. 📩 Let's connect to discuss Product Management, Consumer Apps, D2C Products, AI, Growth, User Experience, and Digital Innovation\. in\.amanverma050@gmail,com 9718646817

## Location

Greater Delhi Area

## AI stack

claude

deepseek

gemini

lovable

ChatGPT

Figma Make

## Work experience

Associate Product Manager at Noise, 2022 \- Present · 4 yrs 11 mos, • Led NoiseFit App Revamp \(NFA 2\.0\), enhancing UX and platform scalability while supporting onboarding of 150K\+ new users\. • Owned and launched the Commerce Reward System end\-to\-end, increasing monthly revenue from ₹35L to ₹50L \(\+43%\) • Built and scaled Noise Premium League \(NPL\), driving 100K\+ predictions per match and increasing DAU by 23% and MAU by 26%\. • Launched Social Fitness Feeds, an in\-app community platform that boosted DAU by 18% and MAU by 25%\. • Built the Watchface Ecosystem from scratch, including custom, video/live watchfaces and premium monetization capabilities\. • Contributed to Falcon Health Band integration, enabling advanced sleep tracking and new health metrics\. • Designed and executed retention, re\-engagement, and lifecycle campaigns using MoEngage and Insider\. • Revamped the Help & Support journey, reducing customer complaints and improving user satisfaction\. AI Products \- • Built an Audio\-to\-Text Transcription feature for smartwatch\-generated content\. • Developed a Complaint Management System with automated log collection for faster issue resolution\. Optimization and data analytics\- • Built and managed the NoiseFit Admin Panel, enabling dynamic content management and real\-time app configuration\. • Implemented GA4, MoEngage, and Insider for analytics, funnel tracking, user segmentation, and engagement optimization\. • Managed product roadmap execution, sprint planning, backlog prioritization, and release management using JIRA\.

Lead Quality Analyst at Noise, 2021 \- 2022 · 1 yr, • Led end\-to\-end quality assurance and release validation for NoiseFit App 1\.0 \(Android\), ensuring stable product launches across app and smartwatch ecosystems\. • Managed and mentored a team of 5 QA engineers, driving test planning, execution, and delivery across multiple release cycles\. • Defined testing strategy and owned quality sign\-offs for new smartwatch launches and app feature releases\. • Authored and maintained comprehensive test cases, test plans, and regression suites to improve release quality and coverage\. • Evaluated and identified automation opportunities, improving testing efficiency and reducing manual effort\. • Collaborated closely with Product, Engineering, and Design teams to identify issues early and accelerate product delivery\.

Automation Engineer at SAP, May 2019 \- Oct 2021 · 2 yrs 6 mos, India, • Developed and maintained automation frameworks for SAP Fieldglass, a cloud\-based workforce management platform, improving testing efficiency and release reliability\. • Analyzed business requirements and manual test scenarios to design scalable automation scripts using Selenium, Java, TestNG, and XPath\. • Automated end\-to\-end workflows, enabling parallel execution of multiple test suites and significantly reducing manual testing effort\. • Built automated reporting mechanisms using TestNG, improving defect visibility and accelerating release validation\. • Collaborated with cross\-functional teams to understand product functionality, identify edge cases, and ensure high\-quality feature delivery\. • Leveraged SQL for backend data validation and integrity checks across complex business workflows\. • Contributed to continuous improvement of automation coverage, helping accelerate product releases while maintaining quality standards\.

Automation Engineer at Happiest Minds Technologies, 2019 \- 2021 · 2 yrs, • Developed automation frameworks for SAP Fieldglass, enabling scalable end\-to\-end testing and improving release efficiency\. • Analyzed business requirements and translated manual test scenarios into automated test suites using Selenium, Java, TestNG, XPath, and SQL\. • Wrote and executed test scripts while performing system, functional, integration, and regression testing to ensure product quality and release readiness\. • Identified, documented, and tracked defects through resolution, collaborating closely with Engineering and Product teams to ensure timely fixes\. • Participated in Agile/Scrum ceremonies including sprint planning, backlog grooming, daily stand\-ups, and retrospectives to support iterative product delivery\.

## Education

MBA ITSM, SVKM's Narsee Monjee Institute of Management Studies \(NMIMS\)

Bachelor of Technology, Computer Science, Dr\. A\.P\.J\. Abdul Kalam Technical University

[View the original profile](https://tal.club/meet/aman-verma-23)

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