Hive
Product Manager, Deploy Data
San Francisco
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hirly's read of this role
- Role family
- Product management
- Seniority
- Lead / management
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 27 Oct 2026
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the posting
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.
Product Manager, Deploy Data Role
The Deploy Data team plays a central role at Deploy in enabling massive amounts of data to be labeled in an accurate, efficient, and scalable way. You'll take a critical part in improving a platform of services and tools used by millions, and which is paramount to the success of bleeding edge ML products and research.
As a Product Manager, you will be an essential part of the Deploy team, working effectively across all disciplines to build, launch, and iterate. You will work closely with all stakeholders to define product requirements and see implementation through to completion, leading development efforts between engineering and design. You will play a central role in helping each team succeed and promoting productivity, efficiency, risk management, and continuous improvement. You are passionate about organization, experienced in working with agile teams, have a good understanding of best practices in software engineering, highly effective in communicating and problem solving, and have experience managing enterprise projects.
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