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Business Operations Manager

Hive

Hive is a leading provider of AI solutions to understand, search, and generate content, trusted by large organizations for content moderation, deepfake detection, and digital safety.

Hive is the employer — EngRadar is a job radar, not a recruiter. We track this posting from their own careers page and send you straight there; we never handle applications or CVs.

San Francisco Full-time Posted 29d ago aicontent-moderationdeepfake-detection

About Deploy

Deploy is an intelligence infrastructure platform that gives developers and enterprises access to open source and proprietary AI models. For leading open source LLMs, Deploy operates an optimized model inference engine that keeps costs and latency low while maintaining high throughout.  Deploy also offers a set of proprietary AI models that address challenges in content safety, AI & deepfake detection, sponsorship intelligence, and IP & publicity protection. Trusted by the world's largest and most innovative organizations, Deploy's solutions unlock high-performance AI model inference at production scale.

Deploy has raised more than $200M from leading investors, including Tomales Bay Capital, General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. The company has more than 250 employees across offices in San Francisco, Seattle, New York, and Delhi.

Business Operations Manager Role

Deploy is looking for a strong leader to provide direction, insight, and strategy across the board. As a business operations manager at Deploy, you will work closely with our executive team to provide support in a variety of key activities, including improvement of key processes, implementation of systems and structure, development of company and team productivity metrics, and project management and execution of client projects. Our ideal candidate has strong generalist skills and a proven background of leadership. They are able to step into any role and help out with any project as needed. A passion for startups and AI is a must.

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