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Aman Verma

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

Greater Delhi Area

2+ years of work experience

Noise
20224 yrs 11 mosPresent

• 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.
Noise
20211 yr2022

• 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.
SAP
May 20192 yrs 6 mosOct 2021

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.
Happiest Minds Technologies
20192 yrs2021

• 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.

Aman’s AI Stack

claude
claude
deepseek
deepseek
gemini
gemini
lovable
lovable
ChatGPT
ChatGPT
Figma Make
Figma Make

Education

SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

MBA ITSM

SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

Dr. A.P.J. Abdul Kalam Technical University

Bachelor of Technology, Computer Science

Dr. A.P.J. Abdul Kalam Technical University

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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

Aman Verma - Associate Product Manager in Greater Delhi Area | Tal