Data Operations Analyst
Hive - San Francisco
Posted Apr 28, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Data Operations Analyst San Francisco 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, deepfake detection, brand protection, sponsorship measurement, 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! Data Operations Analyst We are looking for an eager and motivated Data Operations Analyst to join our Data Operations team. At Hive, our DataOps team is responsible for supporting the development of our proprietary AI models leveraging our Hive Data platform to deliver high-quality training and testing datasets. Day to day, you will be managing multiple projects at a time with operational excellence by analyzing priorities, metrics, and deliverables. Our ideal candidate is interested in learning the ins and outs of a fast growing startup, as they will play an essential part in the product development lifecycle. You will also have the opportunity to work in a collaborative and close knit
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