Client Solutions 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
- You have 1-4 years of work experience in consulting or business development
- You have a technical background in computer science and / or hands-on experience in software engineering
- You have 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
- Interface directly with clients to address their key business questions and needs
- Own and manage all aspects of client projects and delivery for Hive Data and Hive Predict; serve as the critical bridge between our clients and our product teams
- Execute and advise on innovative solutions for clients in all verticals, including media, retail, security, and industrials
- Problem solve when technical challenges arise to ensure smooth delivery of projects to clients
- Collaborate with machine learning and engineering teams in developing solutions that work for the client
- Collaborate with other members of the sales team to define projects and client offerings
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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