Director of Engineering, 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 an undergraduate or graduate degree in computer science or similar technical field
- Are familiar with several programming languages, frameworks, and technologies such as Node, C++, Scala/Spark, SQL, Cassandra, Docker, etcAre experienced in building and maturing engineering teams and infrastructure in a start up environment
- Management skills: ability to set roadmap and goals for a team and its individual members, delegate, mentor, and deliver results
- You have a desire to interview engineers, collaborate with a recruiting team, and smoothly onboarding new team memebers
- You have experience collaborating with product managers and QA in delivering product features
Desirable
- 4+ years experience developing software as an engineer, with experience in distributed systems and large scale application development a plus
- 2+ years experience managing engineering teams, with experience managing other managers a plus
What the job involves
- Drive the execution of the company's long term vision and goals
- You will own one or more business-critical systems, working closely with cross-functional partners in developing the engineering vision and roadmaps for the organization
- Directly influence senior engineering talent in decision making for the entire organization
- Interface closely with product management, machine learning, QA, and sales teams to build roadmap in supporting the long term vision of the team
- Growing and structuring engineering teams and culture
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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