Bengaluru, Karnataka, India
Aditya has 8+ years of experience in Product & Program Management working with leading B2B SaaS firms Moveworks, Sprinklr and India's largest cab-aggregator Ola Cabs. He is extremely passionate about building new products from scratch, leading cross-functional teams, laying out detailed product specs, understanding end-user's needs and framing go-to-market strategies for the product. He also has experience in quarterly business planning, P&L management and business development. He has previously led the analytics team of the India-west zone for Ola, headed the Share category and managed P&L of entire Mumbai region. Aditya is extremely passionate about Travelling and has travelled to 21 countries so far.
- Leading Moveworks Setup product - the administrative tool to configure and manage AI assitants - Leading system integrations discovery and development for Enterprise Search - Assisting with most comprehensive out of the box plugins for Agentic AI for employee productiviyy
- Built Moveworks Setup product which enables customers to configure and manage their AI assistants. - Developed 20+ capabilities that unlocked partner led implementations, and improved customer adoption to 40%
Roles & Responsibilities • Owning Product Development & Innovation, Roadmap, GTM strategy, & Support Operations for the Social Listening module ($180M+ ARR) • Directly managing a team of 12 product members & 11 support engineers Product & Innovation • Roadmap & Release Management: Oversaw 10+ major releases, 6 cross-functional teams and 300+ features in a span of 3 years • ChatGPT Innovation: Ideated & released 15+ ChatGPT powered features - reducing time to insights & entity configuration effort • AI-powered features: Led end-to-end product ideation, delivery & GTM of new Innovation SKUs contributing towards $15M new ARR • Usability: Led “0 bugs – 0 UI/UX Issues” initiative; Simplified entire product UX with persona views; 30+ usability improvements • Channels & Sources: Ensuring data & source leadership via Channel integrations & new vendor onboarding Growth & GTM • Improved Visible Opp. pipeline (1.8x) with product-assisted lead-gen (Website, Free Trial, SEO, E-Books, Ads, Blogs, Webinars, A/B tests) • Improved sales conversion (+15%) through field enablement initiatives (play-books, value-cards, workshops, verticalized assets) • Top Product-Assisted News Logos and Upsells ($4.2M+ ARR): PepsiCo, Samsung, Rolex, Jaguar Land Rover, Google, VISA, Twitter
- Awarded Pre-Placement Offer (1/4 out of 12 Interns) for the role of Product Manager at Sprinklr India Office - Reimagined and redesigned an Ad-Hoc social listening tool aimed to deliver quick insights with basic search inputs - Identified 150+ design and functional issues in Research Tool; Improved customer satisfaction score of Research tool - Prepared a C-suite report on Hospitality sector covering end-to-end persona-based use cases for digital solutions
Roles and Responsibilities: - Sole in-charge of Incentive schemes rolled out for the city of Mumbai on the supply side. Modeling of different types of supply oriented schemes gauging partner behavior/perception for improving supply metrics - Segmentation of the fleet depending on the behaviors of cars - Earnings/Utilization/Booking performance - Reducing incentive burn through scheme optimization and ensuring overall improvement in effective net take rate and GMV - Laying out quarterly targets and projections for the city along with the weekly plan on demand/supply front to meet these targets - Closely working with Marketing Team – Estimating Redemptions, Burn of segmented Customer offers like Cashback Discounts, Repeat/Non-Repeat customer offers - Managing a team of 5 People (MIS Executives) and guiding them on various metrics and partner-side incentive related issues Achievements: - Improved Effective Net Take Rate by 5% (1.5 Cr /week) in a span of 25 weeks through scheme optimization and strategic supply segmentation, basis their performance and perception - Improved Daily Active Cars and Weekly Active Cars by 20% and 30% respectively through various retention and reactivation schemes
Value Category Operations and Management Responsibilities • Overseeing Ola Mumbai’s value category (Mini, Micro & Share) analytics and developing strategies to meet quarterly growth targets • Data Retrieval (BigData) through SQL and Root Cause Analysis for any deviation or major change in the behavior of important metrics • Tracking all round performance of Ola fleet, campaigns, initiatives, product variations and analyzing their impact on city’s growth • Analysis, making detailed reports and summarized findings for root cause analysis of any major deviation from targeted growth • Developing customer segments based on their historical booking behavior and handling targeted customer offers and discount schemes to increase new customer acquisiton and repeat customer retention while keeping additional discounting burn under control • Working with managing leadership to prioritize business and information requirements Initiatives • Improved customer experience by laying out Hotspots Zones at major IT parks, Residential Areas, Malls, Metros/Railways Stations • Assisted OLA central team in launching and expanding Flat Fare zones by laying out experience Hotspot KMLs at all potential locations • Launched share express at 40 major routes at very competitive rates by identifying routes with maximum commuting population • Automated the data pulling methodology by creating dashboards on Microstrategy Tool and reduced daily man hours by 3 hours • Implemented changes in the rate card of Mini and Prime in Q1 and ensured a positive impact on ride and customer distribution • Laid growth targets for Q4 (2016) and Q1 (2017) for the city and planned weekly strategies in order to meet targets for the quarter
• Comprehensively analysed the deformation characteristics of newly developed Heat Resistant SIMP steel using Gleeble-3500 simulator • Predicted the workability of steel with 99% accuracy at various deformation conditions to manifest its use in the nuclear and industrial sector • Developed constitutive models with 98% precision based on Arrhenius equations considering Dynamic recovery and Dynamic recrystallization • Developed Processing Maps and Instability Contour Maps to determine the optimum hot working conditions for Heat Resistant SIMP steels • Gained extensive knowledge about hot deformation process, ORIGIN software and state of the art facilities like thermo-mechanical simulator (Gleeble-3500), High Resolution Optical Microscopy, Scanning Electron Microscopy (SEM) and Transmission Electron Microscopy (TEM)