Engineering Manager

 

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 throughput.  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.

 

 

In order to execute our vision, we're constantly growing our engineering team.  We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their full potential.  We value hard workers who have no qualms working with terabyte-scale datasets, are interested in learning new technologies at all levels of the stack, and move fast and take ownership of their projects.  Our ideal candidate has experience managing a team of engineers working on infrastructure projects of a massive scale, contributes innovative ideas and ingenious implementations to the team, and is capable of mentoring junior engineers through their journey to become better.

 

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Deploy, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

 

Thank you for your interest in Deploy and we hope to meet you soon!