Staff Software Engineer - Backend
Hive · On-site
MeritLog read this listing from Hive's Lever job board and last checked it on September 9, 2026.
Source: the employer's Lever job board. Open the original listing for current details.
Job details
- Work model
- On-site
- Salary
- Not listed by source
- Location
- San Francisco
- Occupation
- Software Developers(O*NET 15-1252.00)
Hiring context
How this role compares at Hive
Hive has 76 live roles in MeritLog’s catalog across 12 job families, and 22 of them are in engineering. 0 of those listings publish a pay range, a disclosure rate of 0%.
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Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
Job description
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! Staff Software Engineer In order to execute our vision, we need to grow our team of best-in-class engineers. We are looking for developers who are excited about launching new products and features into production, who can work autonomously and aren’t afraid to try new technologies, and who don’t back down from the challenges of scale. Our ideal candidate has experience building core services and web-based APIs from the ground up, cares just as much about the product itself as the technology that powers it, and is capable of both structuring and writing clean, maintainable code.