Naivedya Jain

Product Manager

Bengaluru, Karnataka, India11 yrs 4 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Achieved 99.99% accuracy in AI systems.
Generated $180M impact through innovative solutions.
Built products for over 100M users in fintech.

Stackforce AI infers this person is a Product Manager specializing in AI-driven solutions within the Fintech and Retail sectors.

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Skills

Core Skills

Product ManagementAiGenerative AiFintechSaas

Other Skills

AI ApplicationsAI Model DesignAgile MethodologiesAlgorithm DevelopmentAlternative InvestmentsAnalyticsClient EngagementConvolutional Neural Networks (CNN)Data MiningData ScienceEngineeringFeedback GatheringFinancial ServicesGTM StrategyGo-to-market Strategy

About

Most enterprise AI fails the moment real decisions depend on it. I spend my time figuring out why—and building systems that don’t. At Walmart, I’ve worked on two problems that taught me what production reliability actually means. The first was about making AI accurate enough that executives would trust it with business decisions worth millions. We got to 99.99% accuracy across 150+ alerts by rethinking the architecture: let AI do what it’s good at (understanding context), use deterministic systems for facts, catch outliers before they reach anyone. It worked. $180M impact. The second was harder: predicting not when shipments arrive, but when products are actually ready to sell. Sounds simple until you’re stitching transit data with warehouse operations across thousands of locations. We beat industry standard accuracy by 12 percentage points. $140M in inventory optimization. Both started small, both scaled across the enterprise. Before this, I built products at Paytm (payments, 100M+ users) and IndMoney (lending, 0-to-1 to $50M). Different domains, same challenge: how do you build something that works when it really matters? What I’ve learned: The best product problems live between “impressive demo” and “system someone trusts with their business.” That gap is where I do my best work. 11 years. Fintech, retail, AI. Building things that scale.

Experience

11 yrs 4 mos

Total Experience

2 yrs 3 mos

Average Tenure

4 yrs 3 mos

Current Experience

Walmart global tech

2 roles

Staff Product Manager

Feb 2024 – Present · 2 yrs 4 mos · Bengaluru, Karnataka, India

I successfully led initiatives that transformed inventory visibility and proactive alerting systems, resulting in improved operational performance.
Developed a data platform that streamlined inventory planning, significantly reducing stock discrepancies.
Implemented a cognitive alerting system that proactively identified potential issues, enhancing system reliability.
Cultivated skills in data science, engineering, and user experience design, driving innovation at scale.

Data ScienceEngineeringUser Experience DesignProduct ManagementAI

Senior Product Manager

Mar 2022 – Feb 2024 · 1 yr 11 mos · Bengaluru, Karnataka, India

Sam’s Supply Chain Intelligence - Command Centre & Gen-AI as a service platform
Generative AI Platform (GenAAS): Developed an expansive generative AI platform, incorporating a bespoke LLM gateway with capabilities for AI model design and tuning, enriched by open-source models like Vicuna, Alpaca, and Gemini. (Wal-e bot)
Generative AI Applications: Established AI-powered command center tools for supply chain management, featuring case summarization, interactive Q&A modelling, content generation, and smart policy recommendation systems
Gen-AI Prompt-Based Interface Creator: Designed an innovative interface generator that leverages AI-based prompts to rapidly construct user interfaces for internal applications, enhancing the efficiency of product delivery teams by 80%

Generative AIAI Model DesignSupply Chain ManagementProduct Management

Paytm

Senior Product Manager

Jan 2021 – Feb 2022 · 1 yr 1 mo · Noida, Uttar Pradesh, India

Horizontal Consumer App Product Manager for Paytm Bank catering to over 15 Million+ MAU.
Revamped Consumer Banking app user experience, in line with the strategic OKRs
Improved User Activation metrics by 10% for Fixed Deposits Implemented in-house app analytics framework to minimize conversion funnel drop-offs and fix leakages in User Onboarding Journeys by 15%
Defined strategic roadmap for our subscriptions offering NACH, improved EMI recovery rates by 30% by improving customer communication & introducing in-app nudges.
Streamlined operational and Tech inefficiencies, ensuring best-in-class NACH product offering with 80%+ success rate

User Experience DesignAnalyticsProduct StrategyProduct ManagementFintech

Indmoney.com

Product Manager

Jul 2019 – Dec 2020 · 1 yr 5 mos · Gurugram, Haryana, India

Setup lending vertical from scratch, Identified value proposition, built an end-
to-end lending offering on IND App
Created proprietary bank matchmaking algorithm along with a team of 7+
engineers, generating top of the funnel leads in excess of 50 Mil$ in a quarter
Improved CLTV by 20% while developing acquisition hook for platform
Built automated event-based notification system, increasing DAU/MAU by
15%
Defined GTM & product positioning strategy & developed strategic partnerships with major banks insuring the lender supply
Developed loan rebalancing algorithms - standout offering across products in
the category, offering users to save money by reducing their EMIs on existing
loans leading to an increase in top-line revenue by 12%
Implemented tracking & lead management system for end to end conversion & sales funnel optimization, increasing conversion

LendingProduct PositioningGTM StrategyProduct ManagementFintech

Oxane partners limited

Associate Product Manager

Sep 2017 – Jul 2019 · 1 yr 10 mos · Gurgaon, India

About: Oxane Partners is a Prop Tech SaaS firm, founded by ex-DB Traders with prime-focus on European Asset Management Companies
Focus: Product Activation & Adoption
1. Conceptualized Valuation & Site Inspection platform as part of Oxane's Asset Management product, features helped redefine our Product Positioning and Increase Product Adoption
2. Streamlined reporting process by transitioning from development heavy javascript based library components to BI tools, reducing Onboarding time by 40% and increase Adoption by 20%
3. Improved Product Usability across platforms by 30% by implementing the Product Analytics system, reducing Customer Churn by 30%
4. Conceptualized & Developed Prospect Module, Module leverages CRM to make secure Property Introduction to Investors, with embedded analytics, Feature helps capture Broker segment

Product ActivationReporting ProcessProduct UsabilityProduct ManagementSaaS

Indus valley partners

Product Analyst

Dec 2014 – Sep 2017 · 2 yrs 9 mos · New Jersey, United States

Indus Valley Partners is a niche Technology firm catering Hedge Fund/Private Equity ecosystem having managed clients with combined AUM of 1.3 Trillion$
Focus: Retention & Monetization, Early Maturity Stage
Started off as an intern and then proceeded to full time
Front Deployed Analyst worked onsite with Top Asset Managers in New York to gather Critical Customer and User Feedback
Lead a team of 4 Developers and 5 Operations Associates
Developed new capabilities for Generating Quantitative Alerts, Broker Communication, Auto-Match Algorithms increasing Client's Retention & Engagement Matrices by 50%
Received Outstanding Shining Star Award, Awarded to Top 1% Product Analysts

Quantitative AlertsClient EngagementFeedback GatheringProduct ManagementFintech