Product Analyst, Hive
Sports, Media, and Marketing
$75-105k
Plus stock options
AI content moderation platform
Open for applications
AI content moderation platform
201-500 employees
Open for applications
$75-105k
Plus stock options
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 or graduate degree in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics
- You have 1-3 years of work experience in an analytics focused role at a technology or technology consulting firm
- You have experience scripting with SQL, extracting large sets of data, and designing ETL flows. You also have experience with a statistical or scripting language such as Python, Node JS, R, or MATLAB
- You have experience in an interdisciplinary/cross-functional field. Added points for enterprise-technology, SaaS, client facing, or start-up experience
- You have distinctive problem-solving skills and impeccable business judgment. You know how to translate analysis results into business recommendations, and possess excellent written and verbal communication skills
- You have experience articulating product and business questions, pulling data from datasets (SQL) and conducting business analysis to arrive at an answer. You are able to collaboratively structure and define analysis with initially ambiguous requirements
What the job involves
- As a Product Analyst on the Hive Media team, you will be a key member of a growing product team and will own business-crucial quantitative analysis
- Develop product quality and performance KPIs and track over time via dashboarding and automated reporting
- Analyze high volume data using SQL and effectively communicate findings
- Collaborate with Business Development to provide data-backed insights to our partners and clients
- Develop and own product processes. Collaborate with Engineering and QA teams to execute on process-driven objectives
- Maintain awareness of industry best practices for data maintenance handling as it relates to your role
- Adhere to policies, guidelines and procedures pertaining to the protection of information assets
- Report actual or suspected security and/or policy violations/breaches to an appropriate authority
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.
Freddie
Company Specialist at Welcome to the Jungle
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
Leadership
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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