Business Operations Manager, 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 3-5 years of work experience at a top consulting or banking organization
- You have a strong history of leadership; you take initiative and manage others in a way that promotes growth and efficiency
- You have client-facing experience and a proven ability to engage with customers when necessary
- You are highly organized and detail-oriented; you can handle multiple projects and dynamic priorities without missing a beat
- You are energetic, resourceful, and driven, and have the ownership to thrive in an unstructured environment
What the job involves
- As a business operations manager at Hive, you will work closely with our executive team to provide support in a variety of key activities, including improvement of key processes, implementation of systems and structure, development of company and team productivity metrics, and project management and execution of client projects
- Manage our bus ops activities by setting achievable short-term and long-term goals
- Implement effective reporting and productivity goals for company teams, ensuring metrics are useful, visible, and streamlined
- Plan, manage, coordinate, and execute client projects flawlessly through collaboration with business and engineering team members
- 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; anticipate challenges, react promptly and calmly to necessary changes, and ease our growing pains
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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