Headline

Product Manager | Growth, Monetisation & Retention | Ex-Standard Chartered (Solv), PharmEasy | Where Data Meets Product Decisions.

About

Most PMs use data to report what happened. I use it to decide what to build next. I have spent the last 4 years as a Product Manager — at PharmEasy and Solv (Standard Chartered's B2B commerce platform) — owning roadmaps, writing PRDs, running experiments, and shipping features that moved revenue and retention metrics in ways I can actually point to. Before that, I spent several years as an analyst across Snapdeal, Lazada, OLA, and Medlife. That background isn't a detour — it's why I can challenge a metric before it becomes a bad product decision, and why engineering teams trust me when I push back on estimates. A few things I've shipped that I am proud of: → Built a Bank Discount Engine at PharmEasy — a real-time personalisation system that delivered ₹15M in monthly incremental revenue → Scaled a B2B2C acquisition channel via Flipkart and PhonePe integrations, generating ₹5M/month in new revenue → Cut MDR costs by ₹10M/year at PharmEasy through UPI reordering and wallet guardrails → Designed a Smart Reorder system at Solv — drove 2.5% order conversion uplift and scaled GMV for MSME retailers → Reduced onboarding TAT by 80% at Solv through signup flow redesign and document auto-verification. I work best at the intersection of product intuition and analytical rigour — in teams that care about why a metric moved, not just that it did. Currently exploring PM / Senior PM roles in consumer tech, fintech, healthtech, or B2B SaaS.

Location

Bengaluru

AI stack

anthropic apis

claude code

claude

codex

cursor

gemini

Work experience

Product Manager at SOLV, Mar 2024 - Aug 2025 · 1 y 5 mo, Noida, Uttar Pradesh, India, Solv is Standard Chartered's B2B commerce platform for MSMEs. I owned the product for user growth, personalisation, and analytics infrastructure. 1. Owned end to end integration of UPI, Net Banking, Credit Cards, Debit Cards and Wallets streamlining the SME checkout workflows for ₹200+ Cr in monthly transactions. 2. Redesigned the signup flow and shipped document auto-verification, cutting onboarding TAT by 80% and lifting completion rate by 8%. 3. Designed and A/B tested (t-test based significance analysis) a personalized Smart Reorder system for high-frequency SKUs, drove a 2.5% order conversion uplift, and scaled GMV. 4. Conceptualised and implemented clickstream analytics infrastructure across Product, Marketing, Business, and Operations teams, enabling granular usage tracking and self-serve reporting for feature-level decision-making.

Associate Product Manager at PharmEasy, Jul 2021 - Mar 2024 · 2 y 8 mo, Bengaluru, Karnataka, India, 1. Conceptualised and launched the Bank Discount Engine, a dynamic personalisation system that delivered a 1.5% conversion uplift and ₹18 Cr annually in incremental revenue through real-time offer targeting. 2. Designed wallet redemption guardrails, reducing promotional discount costs by ₹16.8 Cr annually. 3. Optimized the checkout and payment platform, launched 1-click checkout, dynamic PG routing, in-app wallet flows, low-performing PG suppression, and UPI deep links lifted payment successful transaction rates by 20%. 4. Scaled a B2B2C acquisition channel by integrating the PharmEasy PWA with Flipkart and PhonePe, generating ₹6Cr in annual incremental revenue. 5. Reduced MDR cost by ₹1.5 Cr yearly by re-sequencing payment method prioritisation to favour UPI, a zero-MDR rail over card-based payments.

Associate Analytics Manager at Medlife.com, Nov 2019 - Jul 2021 · 1 y 8 mo, Bengaluru, Karnataka, India, 1. Optimised communication strategy by migrating transactional messages from SMS to push notifications, reducing transaction costs by 45%. 2. Analysed recommendation strategy (substitution, frequently bought together), driving a 5% AOV uplift.

Product Analyst at Ola (ANI Technologies Pvt. Ltd), Jan 2017 - Jul 2019 · 2 y 6 mo, Bangalore, 1. Improved driver-customer connectivity by optimizing the Bluetooth-based ride initiation system, improving successful connections from 48% to 94%. 2. Conducted pricing experiments (via ANOVA testing) for the 'Pay for Play' feature, increased conversion by 9% and contributed to revenue growth.

Regional Business Analyst at Lazada Group, Jun 2014 - Nov 2016 · 2 y 5 mo, Bangkok, Bangkok City, Thailand, Built Qlikview BI dashboards for investors and leadership, reduced reporting turnaround by 75%.

Data Analyst at Snapdeal, Sep 2011 - Jun 2014 · 2 y 9 mo, New Delhi, Launched self-service vendor platform, reducing the SKU upload time by 90%.

Education

Bachelor of Commerce (B.Com.), Managment,Finance and Accountancy, Delhi University

MBA, Finance and Financial Management Services, Karnataka State Open University

Public links

github: https://github.com/Gaurav-Saxena1901

gaurav-saxena.notion.site: https://gaurav-saxena.notion.site/Gaurav-Saxena-d3b60d9ed44e82248f7e81db7cb382a5