AI Jobs

Design and develop the production lifecycle of full-stack AI applications for international government partners, ensuring end-to-end system reliability, real-time inference observability, and sovereign data orchestration. Key skills include AI ops architecture, cloud infrastructure, system reliability engineering, software integration, and experience with high-security government deployments.

Lead a team of Software and Data Engineers to ensure financial data quality, consistency, and accuracy across OpenAI's billing systems and financial data flows. Drive strategy for bringing data capabilities in-house while partnering with Finance and GTM teams to establish monitoring, validation, and observability mechanisms.

This role leads the AI Deployment Engineering team to ensure safe and effective deployment of generative AI applications for strategic enterprise customers, managing the entire implementation journey from integration to production. Required skills include team leadership and mentoring, technical strategy development, customer success management, and deep understanding of GenAI deployment patterns and best practices.

Lead and mentor a team of deployment engineers delivering production-scale AI implementations for pharmaceutical, biotech, and healthcare organizations in regulated environments. Requires strong technical foundations in AI systems, people leadership experience, and deep expertise in healthcare compliance, privacy, and safety standards.

Lead and mentor a team of Technical Support Engineers at Cursor, engaging directly with users to solve complex technical challenges while leveraging insights to build internal automations and optimize support processes. Ideal candidates are former support engineers with proven leadership experience who are passionate about developer tools and thrive in fast-paced startup environments.

Lead and scale a high-impact pre-sales Field Engineering team supporting Cursor's fastest growing enterprise accounts, managing technical discovery, demos, and proofs of concept. Requires technical fluency, strong people management skills, and the ability to partner cross-functionally with Sales, Product, and Engineering teams.

Lead the infrastructure engineering efforts for Scale AI's enterprise platform, architecting multi-cloud systems and deployment standards for Agentic workflows across GCP, Azure, and AWS. Design scalable, secure infrastructure solutions while mentoring teams and defining long-term technical strategy for knowledge retrieval and inference engines.