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Salary
$146k – $291k per year (Estimated)
Location
In office (San Francisco)
Employment
Full-Time
Overview
Company
Impact
Profile match
Hive (Hive Moderation) is a leading cloud-based artificial intelligence and visual intelligence platform headquartered in San Francisco, California. Founded in 2013 by Kevin Guo and Dmitriy Karpman, the company has raised over $85 million in funding (reaching a $2B valuation) to build enterprise machine learning systems powered by a vast, distributed data-labeling workforce.

About Hive

Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Product Manager, Hive Models Role

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.

Responsibilities

  • 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 and security at which projects are delivered
  • 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

Requirements

  • You have a Bachelor of Science in Computer Science, Engineering, 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
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