Modal is hiring a Detection & Response Engineer to build automated threat detection and incident response systems. The role involves developing detections, investigations, and response tooling across cloud infrastructure, leveraging AI/LLMs. Collaborate with infrastructure and security teams to enhance platform resilience.
Modal is hiring a People Operations Generalist in New York to own the employee lifecycle end-to-end, from onboarding to offboarding, while building scalable HR processes and programs. Offers $115K-$145K plus equity.
Modal is seeking a Revenue Operations Manager to own the entire revenue operations function, from lead routing to commission administration. This hands-on role involves building systems, dashboards, and processes to scale the go-to-market motion, with a focus on builder's mindset and AI-forward practices.
Modal is looking for a Regional Director to lead and scale its enterprise sales team, drive strategic revenue growth, and coach Enterprise Account Executives through complex AI infrastructure deals.
Modal is hiring PhD research interns to join its research team and improve large-scale model training, optimization, and inference. The role focuses on reinforcement learning, foundation models, long-context tasks, and real-world efficiency and robustness.
Modal is seeking PhD research interns to work on reinforcement learning, machine learning, and foundation models, focusing on large-scale model training, optimization, and inference.
The People Operations Generalist will own end‑to‑end employee lifecycle processes, improve onboarding, maintain HR resources, and support HR programs at a fast‑growing AI startup.
Community Manager role in San Francisco to lead AI developer events, meetups, and hackathons, fostering community growth and engagement.
Modal is seeking a Data Engineer to join their growing Data team in New York. This role involves building self-serve data tools, driving business strategy, and working across the data stack including engineering, analytics, and analysis. Candidates will contribute to modern analytics stacks and write data pipelines to enrich business understanding.
