Quick overview
SeniorityMid Senior
Employment typeFull Time
Work modeOn Site
LocationSeattle, United States
Machine LearningAgile
Job description
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.
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.
About the Role
As a Product Manager for AutoML, you will be an essential part of the Deploy team, working effectively across all disciplines to build, launch, and iterate features for our AutoML platform. Deploy's AutoML platform allows our customers to easily train, evaluate, and deploy customized machine learning models. Beginning with their own data, Deploy's AutoML platform guides our customers through the process of creating a fully-functional model accessible via an API endpoint just like Deploy pre-trained models.
In this role, 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 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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