Yelp is an online platform that connects users with local businesses. Trusted content is its top competitive moat. Content org is responsible for acquiring and delivering that; from powering the core reviews engine to using machine learning to create new content products, knowledge taxonomies, and platforms to enable its usage across the company.- Scaled the org globally (the US, UK, and Canada), to 6 teams with 55+ engineers and across multiple disciplines (Mobile/Fullstack, ML, Data-backend).- Delivered a 5% YoY (against a 3% target) growth in Reviews, which is a top-line metric for the company- Pitched a new metric to senior executive leadership to measure engagement across contributors and community user ecosystem and successfully delivered on the goals.- Transformed the organization's culture from building siloed features to integrated data products that power the broader Yelp product landscape.- Introduced the discipline of ML as a first-class citizen in the org and improved user/contributor growth/ engagement.- Grew people into Managers, Manager-of-Managers, Tech Lead, and Staff+ roles.

Led three teams with 25+ engineers and two managers. The org was responsible for all external partnerships (like Apple Maps, Bing, DuckDuckGo) with Yelp and end-to-end management of structured business data for Yelp.- Delivered $25M+/yr revenue by enabling integrations with 3rd party Ad resellers.- Grew the team to 25+ members, cultivated new leaders, and hired externally.- Managed the "Yelp for developers" ecosystem across open-source and proprietary use cases.- Introduced leveraging ML and other methods to proactively detect quality and completeness issues with business content.

The Data Quality team was responsible for structured content about businesses. From ensuring they were categorized accurately and verifying their physical location to knowing what the user might experience (do they have Wi-Fi/outdoor seating/etc.). Impact was broad, particularly in search and ads products.- Pitched the charter, formed and led a 7-person team focused on managing structured business content end-to-end.- Built platforms for ingesting data, data curation, and data stores that served it to the rest of Yelp.- Defined quality and completeness metrics with cross-functional leaders and implemented tools and processes used by 300+ agents working on them daily/day in and out.