Hiring.Camp

Client Solutions Associate

Hive

·

Jan 15, 2021

Location
San Francisco
Type
Full-time
Department
Hive
Seniority
Entry
Experience
4+ years
Education
Bachelor
Source
Lever

Description

About Hive

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 applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, 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. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Client Solutions Associate Role

We are looking for talented cross-functional rock stars to join our Client Solutions team. At Hive, our Client Solutions team is responsible for commercial deployment of all the groundbreaking technology we have built at Hive. This Client Solutions Associate will work closely with our Executive Team to develop new relationships with clients as well as cultivate existing ones. Day to day, you will connect with existing clients in all industries and deliver on Hive’s offerings to a broad range of Fortune 500 companies.  You are constantly executing on projects and fostering growth. You will be expected to keep up with multiple clients and products at a time and apply your strong quantitative skills to analyze priorities, project results, and client solutions. You are both the foundation and the catalyst for Hive, and you are relentless in delivering on our innovative capabilities. For this role, we are looking for candidates with a strong consulting or business development background and technical degree.

Skills

Machine Learning

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