Primary record

Applied AI Engineer, Startups

OpenAI Indexed employerSan Francisco · New York City
Source-hosted applyChecked 6h ago$198K–$280K/yrFull-Time
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Workplace

On-site

Employment

Full-Time

Published

Jun 1, 2026

Closes

No date supplied

The role

About the team The Applied AI Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and startups. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to late-stage startups. About the Role We are seeking a technically proficient, business-minded Applied AI Engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Startups Applied AI Lead. This role is based in our San Francisco or New York offices. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Partner closely with strategic startup customers as their technical thought partner to build novel applications on our API, helping them rapidly move from ideation to scale. - Provide proactive guidance to maximize business impact and accelerate application development. - Experiment and prototype alongside customers, demonstrating practical use cases. - Contribute to open-source resources and scale the function by sharing knowledge, codifying best practices, and publishing useful resources. - Synthesize and deliver valuable feedback to the Product an

Requirements

Department: Go To Market; Team: Technical Success