Business Operations Analyst, Hive

Salary not provided
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
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 in a quantitative discipline
  • You have 0 - 2 years of work experience at a top consulting or banking organization
  • You take initiative to direct your own days, identify worthwhile projects, and take actionable steps to accomplish goals
  • You are energetic, resourceful and driven, and have the ownership to thrive in an unstructured environment
  • 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

  • Assist in executing operational and strategic initiatives; help set short-term and long-term goals to drive company growth
  • Be the operations support in managing and delivering projects; stay updated on surrounding business operations activities and assist when needed
  • Collect and organize data from various teams to conduct effective reporting and ensure metrics are useful, visible, and streamlined
  • Advise managers on findings and the various courses they can take to address challenges
  • Actively look for ways to improve upon and optimize existing procedures, systems, and processes
  • Act as a generalist in getting anything and everything done to help the company grow

Otta's take

Theo Margolius headshot

Theo Margolius

COO of Otta

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.

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

Founders

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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