• Hive

  • Client Delivery Analyst
Hiring

Client Delivery Analyst

Product · Full-time · San Francisco, United States

Job 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 Delivery Analyst

We are looking for an eager and motivated delivery analyst to join our Client Delivery team. At Hive, our Client Delivery team is responsible for commercial delivery of all the groundbreaking technology we have built. As a Client Delivery Analyst, you will be responsible for consistently delivering and executing projects within our Hive Data platform. Day to day, you will be managing multiple projects at a time by analyzing priorities, metrics, and deliverables. Our ideal candidate is interested in learning the ins and outs of a fast growing startup, as they will play an essential part in the business lifecycle. You will also have the opportunity to work in a collaborative and close knit team. This is a great opportunity to see how a high growth startup functions in action.

Responsibilities

  • Create, set up, and audit projects on our Hive Data platform to execute and deliver client engagements
  • Own and execute projects for Hive Data clients by creatively brainstorming ways in which our solutions address client needs and challenges
  • Ensure client jobs are running smoothly by managing timelines, identifying points of challenges, and addressing and updating projects accordingly
  • Collaborate with sales and business development teams at the start of each project to understand scope and client requirements
  • Collaborate with engineers in order to set up optimal pipelines and efficiently audit projects
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements

  • Bachelor's degree
  • 0-2 years of work experience
  • You are highly organized and detail-oriented; you handle multiple priorities without missing a beat
  • You have excellent written and verbal communications skills with an analytical mindset
  • You have demonstrated success in a competitive environment
  • You are highly self-motivated and ambitious in achieving goals
  • You are a strong team player, but can work and execute independently
  • You are driven and actively seek opportunities to contribute -- no one needs to push you to excel

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Hive

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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.