Lalit Gautam

Product Manager

Ghaziabad, Uttar Pradesh, India5 yrs 1 mo experience

Key Highlights

Successfully drove 0→1 product launches across multiple industries.
Built AI-powered solutions that significantly reduced operational inefficiencies.
Recognized for delivering measurable impact and operational excellence.

Stackforce AI infers this person is a Product Manager specializing in Fintech and Mobility with a strong focus on AI-driven solutions.

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Skills

Core Skills

Product ManagementProduct Strategy

Other Skills

A/B TestingAgile MethodologiesApplication Programming Interfaces (API)Business ProcessC++Data AnalysisData AnalyticsData-Driven InsightsFeature PrioritizationFintech / Payments KnowledgeGo-to-Market StrategyLeadershipMicrosoft OfficePresentationsProcess Automation

About

Product Manager (IIT Roorkee) with 4.5+ years building AI-powered products in Fintech, E-commerce, TravelTech & Mobility. I’ve driven 0→1 launches, architected fraud engines, and built data extraction pipelines using VLM that scaled to dozens of enterprises. Strong in product vision, backlog ownership, and customer feedback loops — using SQL, Python, A/B testing to shrink fraud, reduce drop-offs, and boost revenue. Curious by nature and powered by data, I love solving complex problems, mentoring teams, and building products people love. Let’s build something real together. Skills: Product Management | Product Strategy | Roadmap Planning | User Research | Market Research | UX Design | Data Analysis | Competitive Analysis | Agile Methodologies | A/B Testing | Stakeholder Management | Analytics | Cross-Functional Team Leadership Let's connect: lgautam@me.iitr.ac.in

Experience

5 yrs 1 mo

Total Experience

1 yr 3 mos

Average Tenure

1 yr 6 mos

Current Experience

Welspun transformation services limited

Product Manager

Dec 2024 – Present · 1 yr 6 mos · Hyderabad, Telangana, India · On-site

Drove 0→1 product strategy and GTM for Wel-Expense, scaling adoption across 17 enterprise clients and directly contributing to revenue growth and platform expansion.
Built LLM-powered OCR and automation pipelines, cutting expense entry time by 70% and improving data accuracy and audit reliability across workflows.
Developed an agentic AI Fraud Engine to detect duplicate claims, policy breaches, and tampered invoices, reducing fraudulent payouts by 8% and strengthening financial controls.
Launched intelligent approval-cycle automation, achieving 40% faster approvals and reducing manual interventions by 60%, enhancing operational efficiency.
Automated multi-currency reimbursements via FX APIs, reducing turnaround time by 80% and ensuring real-time global compliance with audit and finance systems.

Product ManagementProduct StrategyData AnalysisSQLPythonAgile Methodologies

Uni cards

Product Manager

Oct 2023 – Jan 2025 · 1 yr 3 mos · Bengaluru, Karnataka, India

Architected a multi-product lending funnel, reducing user drop-offs by 8% and adding ₹40L in monthly AUM, strengthening conversion and revenue pipelines.
Led address platform upgrades with Google Maps integration and fraud detection, improving address conversion by 9% and reducing manual verification.
Redesigned onboarding and KYC flows, implementing A/B testing to improve user activation by 15% and cut KYC failures across the credit lifecycle.
Enhanced borrower profiling and address validation models, reducing non-contactable cases by 2.5% and improving collection efficiency to 93%.
Launched P2P Flexi Lending Product, attracting ₹36L investment within 1 month, maintaining 0% default rate and 13% annualized returns.

Product ManagementA/B TestingData AnalysisSQLAgile MethodologiesProduct Strategy

Ola

AM - Product and Analytics

Feb 2022 – Oct 2023 · 1 yr 8 mos · Bengaluru, Karnataka, India

Led product strategy for driver onboarding and compliance, cutting non-compliance from 15% to 1% and boosting fleet readiness across ANZ.
Partnered with business, engineering, and risk teams to identify compliance gaps and execute strategies ensuring regulatory alignment across markets.
Automated ID document collection using AI copilots for 50K+ drivers, reducing onboarding time by 30% and improving activation rates.
Integrated with Zego via APIs, mitigating insurance fraud by detecting document forgeries for 70%+ of drivers.
Designed and deployed AI-driven Fatigue Rule Engine, enhancing ride safety by reducing override time for 13% of drivers.
Owned rollout strategy for WA vaccination compliance, achieving 100% adoption in 3 months and avoiding $5M in potential fines.
Developed driver behavior segmentation model (G–Y–R cohorts), cutting customer complaints by 9.3% and improving CX scores.
Automated multi-layer compliance checks, lowering non-digitized fields to <0.1% and strengthening audit readiness.
Led 14 regulatory audits across ANZ, India, and the UK, producing 35+ reports and evidence to prevent $12M in potential fines.
Recognized with 3 Bravo Awards, a Quarterly Award, and a Spotlight Award for delivering measurable impact and operational excellence.

Product ManagementData AnalysisAgile MethodologiesSQLProduct Strategy

Milkbasket

Product Analyst

May 2021 – Feb 2022 · 9 mos · Gurugram, Haryana, India

Analyzed user journeys and engagement funnels, optimizing conversion flows and driving 7% overall revenue growth.
Built customer segmentation and behavioral analytics, enabling personalized engagement that lifted AOV by 16% and retention by 4.5%.
Developed AI-powered recommendation engine, improving search relevance and increasing basket size by 12%.
Designed and deployed agent productivity dashboards, cutting average support response time by 10 minutes.
Spearheaded end-to-end rollout of digital statement download, automating manual workflows and reducing response time by ~99%.

Data AnalysisProduct ManagementSQL