Product Manager, Hive
Hive Models
$100-180k
AI content moderation platform
Open for applications
AI content moderation platform
201-500 employees
Open for applications
$100-180k
201-500 employees
Company mission
To use AI to unlock the next wave of intelligent automation.
Role
Who you are
- You have a Bachelor of Science in Computer Science, Engineering, Statistics, or similar field
- You have hands-on experience with modern machine learning libraries, frameworks, and technologies
- You have excellent verbal and written communication and presentation skills
- You have a working knowledge of functional programming languages such as Python or Node.JS
- You have 2-3 years of combined Machine Learning and Product Management experience
- You are comfortable with — and can thrive in — an environment that is constantly changing, frequently uncertain, and at times chaotic
- You are detail-oriented, organized, collaborative, and hands-on
- You have experience leading a team, and effectively implementing team goals and deadlines
- Beyond just shipping new products, you obsess about continuous product improvement
What the job involves
- As a Product Manager on our Hive Models team, you will work cross-functionally with all stakeholders to define product requirements and see the implementation through to completion, leading development efforts between our Machine Learning, Core Infrastructure, and Product teams
- You will play a crucial role in the core of our business: our cloud-hosted deep learning models
- You are both the foundation and the catalyst for Hive’s growth; you are a key reference for our existing clients and are relentless in delivering on our innovative capabilities
- Own the roadmap, functional requirements, and development timeline for our Hive Models
- Gain deep understanding of our customers’ needs across various industries
- Oversee product execution from inception to delivery
- Help engineering and product teams estimate and decompose complex projects into manageable parts with delivery plans, and track progress against those plans
- Own our Hive Models portfolio, understanding the needs of the product development teams, and envisioning and executing the creation of our deep learning models that can provide human-like interpretation of video, image, audio and text
- Clearly communicate product benefits to our users and internal stakeholders
- Work with the executive team to determine top priorities, help define new features, and improve models habitually
- Measure engineering velocity, and help identify and establish new best practices to improve the speed at which projects are delivered
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.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 47 more jobs at Hive