San Francisco Bay Area
Product leader with 15+ years of experience rounded across engineering and product disciplines. Focused on leveraging power of AI/ML to build innovative products across various domains - personalization, ad click prediction, search engine, recommendations, genAI Chat, Agents. Owned product strategy, design and execution on products in both B2B and B2C.
Leading AI Quality and Trust for Rovo - Atlassian's enterprise search and chat offering with millions of enterprise users. - Evolving Chat from simple fact/knowledge finding bot to the next big thing that will transform how teams work together and get work done. - Bringing next gen search quality to enterprises - not just for 1p products but with high quality across wide swath of data sources that are reality in any modern organization.
Enabling enterprises to promote their jobs on Linkedin and get better outcomes.
- Led Ads Quality (Relevance, Ranking and Pricing) for $500M+ (at that time) Product Ads business. Partnered with multiple Eng Directors, 30+ AI/ML and backend engineers. - Drove significant improvements in Ad relevance, monetization and advertiser value (incremental value of ad spend) to drive long term growth in Ad spend on the platform. - Initially led and built out the overall Ads PM team and drove several fold growth in revenue. Launched new user facing ad experiences, ad products, advertiser tool enhancements and several ML model enhancements.
- Led personalization and ads quality (query/task understanding, retrieval, ranking) efforts for Shopping Ads. Partnered with 40+ machine learning and UI engineers to deliver $xxxM annual revenue impact. - Launched personalized user experiences such as product price tracking on Google Shopping and Google Search that hit >1M MAUs within the first quarter. - Led search and recommendations for “Buy on Google” – a marketplace by Google. Scaled product finding experiences from 1000s to millions of products while improving user metrics
-Head of Commerce Search/Categories product - delivers personalized on-site experiences for ecommerce sites. - Leveraged advanced ML techniques to continuously learn from user behavior automatically adjusting to changes in user demand and underlying product catalogs. - Scaled product from early stage to over 100% revenue growth YoY.