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Salary
≈ $117k – $242k per year (Estimated)
Location
In office (San Francisco)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Feb 5, 2021. Hive scores D on the Alion truth index.

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!

Engagement Manager

Hive is looking for a well-rounded Engagement Manager to oversee the successful execution of our diverse set of Hive Data projects that are crucial in helping companies to incorporate AI into their business. As an Engagement Manager at Hive, you will work closely with the delivery team as well as executive stakeholders to manage several client projects at a time and provide direction and insights throughout the project cycle. You will provide support in a variety of key activities, including project execution and management, improvement of key processes within the delivery team, implementation of systems and structure, and development of team productivity metrics. Our ideal candidate has strong generalist skills and a proven background of leadership. A passion for startups and AI is a must.

Responsibilities

  • Plan, manage, and execute client projects flawlessly through collaboration with business and engineering team members
  • Actively look for ways to improve upon and optimize existing procedures, systems, and processes
  • Manage members on the delivery team by setting achievable short-term and long-term goals, helping to prioritize team focuses, and providing effective feedback
  • Implement effective reporting and productivity goals, ensuring metrics are useful, visible, and streamlined
  • Interface with clients as necessary to move projects forward
  • 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’s degree
  • You have 3-5 years of work experience at a top consulting or banking organization, or project management / operations experience at a fast-growing start-up
  • You have a strong history of leadership; you take initiative and manage others in a way that promotes growth and efficiency
  • You have strong communication skills and instinctively make analytical decisions based on numbers
  • You have client-facing experience and a proven ability to engage with clients when necessary
  • You are highly organized and detail-oriented; you can handle multiple projects and dynamic priorities without missing a beat
  • You are energetic, resourceful, and driven, and have the ownership to thrive in an unstructured environment
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