Enterprise Analytics Associate, Hive
AI content moderation platform
Open for applications
AI content moderation platform
201-500 employees
Open for applications
201-500 employees
Company mission
To use AI to unlock the next wave of intelligent automation.
Role
Who you are
- You have a Bachelor's degree from a well-known 4-year university
- Preferred: You have 2-3 years of work experience at a top management consulting firm
- 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
- Own and manage aspects of client projects and delivery; serve as the critical bridge between our clients and our product teams
- Collaborate with the executive and business teams, as well as engineering, to create client presentations and execute deal documents
- Execute and advise on innovative solutions for clients within our media vertical
- Collaborate with machine learning and engineering teams in developing solutions that work for the client
- Enhance awareness in the targeted business community of Hive and our products / services
- As a Business Analyst, 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
Otta's take
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
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
Articles
Founders
Kevin Guo
(CEO)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.
Dmitriy Karpman
(CTO)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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