Enterprise Analytics, Hive

Analyst

Salary not provided
Excel
Entry and Junior level
San Francisco Bay Area
Hive

AI content moderation platform

Open for applications

Hive

AI content moderation platform

201-500 employees

B2BArtificial IntelligenceEnterpriseContentComputer VisionMachine LearningAutomation

Open for applications

Salary not provided
Excel
Entry and Junior level
San Francisco Bay Area

201-500 employees

B2BArtificial IntelligenceEnterpriseContentComputer VisionMachine LearningAutomation

Company mission

To use AI to unlock the next wave of intelligent automation.

Role

Who you are

  • You have a Bachelor's degree
  • Preferred: You have 0-1 years of work experience
  • Excellent written and verbal communication skills
  • You have demonstrated success in a competitive environment
  • You are highly self-motivated and ambitious in achieving goals
  • Strong team player, but can work and execute independently
  • You’re driven; no one needs to push you to excel; that’s just who you are
  • You are hungry to learn and you actively look for opportunities to contribute
  • You are highly organized and detail-oriented; you can handle multiple projects and dynamic priorities without missing a beat

What the job involves

  • Conduct internal and external analysis on Hive offerings to refine solutions and commercialization strategies
  • Communicate outcomes of various projects and analytics to ensure growth and development of business goals
  • Collaborate with machine learning and engineering teams in developing working solutions that benefit the client
  • Enhance awareness in the targeted business community of Hive and our products / services

Our take

Hive is an AI-as-a-service platform that empowers companies to make smarter decisions through intelligent automation. It is best known for its AI-powered image recognition system. It analyzes images of brands, products and celebrities that allow companies to understand when, where and how their assets are seen.

The challenge with artificial intelligence is that it takes a lot of human labor to make it all work. Hive has embraced this human element, employing over 2 million contractors to label images, video, text and audio content collected from the web. This annotated data is used to train Hive's content moderation AI. This has given it an edge in a competitive market which includes offerings from AI heavyweights such as Microsoft, Amazon and Google, as well as numerous startups like Sentropy and Spectrum Labs.

Hive has raised a significant amount of funding, closing a Series D round led by Glynn Capital in 2021. Hive is focusing on the continued development of its cloud-based deep learning models and plans to invest in further building its sales and marketing teams to expand its market presence.

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Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

Few candidates hear
back within 2 weeks

16% employee growth in 12 months

Company

Funding (last 2 of 5 rounds)

Apr 2021

$50m

SERIES D

Jun 2020

$35m

SERIES C

Total funding: $142.2m

Company benefits

  • Equity
  • Catered meals
  • Comprehensive insurance
  • Corporate gym membership

Company values

  • Product is paramount
  • Set the pace
  • Solve for scale
  • Communicate with candor
  • Responsible growth

Leadership

Studied Computer Science and Math at Stanford. Was a Venture Associate at Mithril Capital Management. Co-founded Kiwi, an AI company, in 2014. Co-founded Hive in 2017.

Background in Computer Science and Philosophy. Graduated from Stanford and joined Google as a Software Engineering Intern. Co-founded Kiwi. Is a Research Assistant at Stanford.

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