Neel Mehta Email & Phone Number

Redwood City, California, Us

Redwood City, California, Us

-Lead an AI/ML team at Zuora to develop an AI based bespoke price optimization feature to drive profitability and revenue growth catering to Zuora’s Customer needs for consumption-based user pricing. Additionally, orchestrated the segmentation of this offering as a standalone SKU, enhancing market versatility and revenue accounted for 450K ARR.-Championed the establishment of a dedicated team at Zuora for the GenAI co-pilot initiative. Secured funding, sourced top-tier talent in engineering and UX design, and oversaw the successful delivery of a comprehensive framework.-Spearheaded the launch of AI-powered consumption insights at Zuora, conceptualizing and overseeing the development of a groundbreaking cubing solution. Enabled Zuora's customers to effortlessly analyze raw event data across multi-dimensional points, revolutionizing their understanding of consumption patterns and driving informed decision-making.-Led the development and launch of an AI-powered benchmarking tool. This innovation equipped Zuora's customers with the means to outpace industry competition by providing real-time insights and comparative analysis, enhancing their strategic decision-making processes.- Lead the Platform Product delivery for large scale UI Frameworks, design System and no-code/low-codes custom UI tools, which accelerate product delivery by 60% and help other product team to achieve their goals faster and more efficient results.- Help Zuora customer’s unlock value with their investment by allowing customers to build their own tailored experience that are secured to a role in the organization with no code/low code tool and help Zuora to monetize the tool to increase the revenue.

San Jose, Ca, Us

- Spearheaded the performance improvement strategy to enhance the customer experience for 70K active users; resulted in onboarding 20K new users.- Collaborated with ~3 cross functional teams to identify areas of improvement; optimized paged performance by 45% for screen load time & 60% for median load time across ~ 90 K users.- Delivered customer centric products via defining the OKRs & engineering processes with SMEs.

San Jose, Ca, Us

- Spearheaded the improvement of the UX for the sneakers & watches (VIP users) through leveraging SEO mechanisms; increased the sales by 18% in this division.- Conceptualized & implemented Machine Learning (ML) strategies for various geo-locations & user categories; led to a record revenue of $11 M / year in the sneakers category.

Burlington, Ma, Us

- Improved the single sign on feature for 220K users via leveraging Node.JS & ReactJS.- Led the implementation of SEO standards & enhancements in the UX; improved the search functionality by 40%.- Onboarded 33% more new customers via optimized unit testing on O365s integration with the application platform; improved the efficiency of scientists by 37%.