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



India








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

Bachelor of Technology, Computer Science
Dr. A.P.J. Abdul Kalam Technical University
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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
Greater Delhi Area
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deepseek
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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.
MBA ITSM, SVKM's Narsee Monjee Institute of Management Studies (NMIMS)
Bachelor of Technology, Computer Science, Dr. A.P.J. Abdul Kalam Technical University