Product Manager, Hive
Hive Data
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
- BA / BS, preferably in computer science or a related technical field
- A track record of building web products, preferably in a startup or fast-paced environment
- You have technical experience with any of the following: data, analytics, design or engineering
- Technical depth that lets you understand tradeoffs and ask engineers insightful questions about architecture and product decisions alike
- Strong quantitative background to support data-informed decision making
- Experience working with engineering, design, and customers in enterprise software or related technical fields
- Experience leading a team, and effectively implementing team goals and deadlines
- Detail oriented; organized; collaborative; hands on
- Exceptionally clear and precise communication skills
- Self-starter, capable of staying on track while pursuing solutions with minimal supervision
- Ability to work under pressure, meet deadlines, and handle multiple projects simultaneously
- You are comfortable with — and can thrive in — an environment that is constantly changing, frequently uncertain, and at times chaotic
- You can turn incomplete, conflicting, or ambiguous inputs into solid action plans
- Beyond just shipping new products, you obsess about continuous product improvement
What the job involves
- As a Product Manager, you will be an essential part of the Hive team, working effectively across all disciplines to build, launch, and iterate
- You will work closely with all stakeholders to define product requirements and see implementation through to completion, leading development efforts between engineering and design
- You will play a central role in helping each team succeed and promoting productivity, efficiency, risk management, and continuous improvement
- You are passionate about organization, experienced in working with agile teams, have a good understanding of best practices in software engineering, highly effective in communicating and problem solving, and have experience managing enterprise projects
- Oversee product execution from inception to delivery
- Gain deep understanding of our enterprise customers’ needs
- Mock up concepts, write specs, cut tickets, write copy and do whatever it takes to ship your products
- Work closely with teams comprised of engineers, designers, sales, and play a critical role in planning of projects to ensure the timely delivery of quality products and features
- Help teams estimate and decompose complex projects into manageable parts with delivery plans, and track progress against those plans
- Work with teams to drive alignment, remove blockers, anticipate and make tradeoffs, and balance business needs against technical constraints throughout project lifecycles
- Facilitate the resolution of timing conflicts, project collisions, and resourcing constraints, and identify and remove bottlenecks
- Work with leadership to determine top priorities and ensure development work reflects those priorities
- Communicate plans, status, risks (and mitigations) to all stakeholders, escalate urgent issues appropriately and drive them to closure
- Measure engineering velocity, and help identify and establish new best practices to improve the speed at which projects are delivered
- Hold yourself and team members accountable to timelines
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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