Job Description
We are looking for talented candidates to join our Enterprise Analytics team. As an Associate on our Enterprise Analytics team, you will work closely with the Hive Media team - a unit of the business focused on serving media companies, agencies, and advertisers with AI-powered products - to support delivery and growth of our media business. As an Associate on our Enterprise Analytics team, you will work closely with the Hive Media team to support delivery and growth of our media business. Day to day, you will work with existing and potential clients within the media vertical and deliver on Hive’s offerings to a broad range of Fortune 500 companies and advertisers. You will be expected to keep up with multiple projects at a time and apply your strong quantitative skills to analyze priorities, metrics, and client solutions and strategies. You are both the foundation and the catalyst for Hive’s growth, and you are a key reference for our existing clients and are relentless in delivering on our innovative capabilities.
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world’s largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software powered by proprietary AI models and datasets, unlocking breakthrough applications for critical business needs with deep learning and generative AI. Collectively, Hive’s technology is transforming approaches to platform integrity / content moderation (including AI-generated content detection), brand protection, sponsorship measurement, context-based ad targeting, and more. Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. In April 2021, Hive announced a $50M Series D at a $2B valuation. The San Francisco-based company has 175+ full-time employees globally, in addition to a distributed workforce of more than 2.5 million global contributors that supports data labeling operations. For more information, visit thehive.ai or follow on LinkedIn.
