Head of Platform Engineering, Enterprise AI

About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Enterprise AI - Head of Platform Engineering Location: Manhattan, New York City Experience Level: 15+ years, including at least 5 years leading platform or infrastructure teams Work Model: Hybrid, with three days per week in the office near Madison Square Park Why Join Enterprise AI? Enterprise AI is building the technical platform that enables enterprises to deploy advanced AI systems in production. As Head of Platform Engineering, you will lead the technical platform team and help scale the organization as it moves from early platform development toward enterprise adoption. You will work closely with architecture and delivery leaders to establish the technical foundations, operating model, and product capabilities required to support demanding enterprise customers. This is a high-ownership role for a technical leader who can build production-grade infrastructure, hire and develop a strong team, and help turn an internal platform into a reliable enterprise product. As the Head of Platform Engineering, You Will Build and Scale the Platform Set the technical direction for a model-agnostic, multi-tenant enterprise AI platform and establish the architecture, reliability, and operating foundations required for scale. Lead Platform Engineering Build and lead a high-caliber platform organization. Hire quickly at a high bar, develop the team, and create clear ownership across platform engineering, architecture, evaluation, and delivery. Enable Enterprise Deployment Develop platform capabilities that support secure, observable, and reliable AI deployments across enterprise environments, including customer-controlled infrastructure where required. Partner Across Architecture and Delivery Work closely with architecture and delivery leaders to translate customer needs into platform priorities, establish clear technical seams, and ensure the platform supports real-world enterprise deployments. Drive Productization Help evolve the platform from an internal capability into a reliable, externally deployable enterprise product. Establish clear standards for performance, security, observability, evaluation, and operational readiness. Demonstrate Customer Value Partner with delivery teams to support client use cases and ensure that platform deployments are evaluated against measurable business and technical outcomes. The Anti-Sell Hands-on technical leadership: This is not a role for someone who has been on a pure management track for five or more years. You must have personally written production code within the last two years. Enterprise-grade complexity: The platform must support multi-tenant enterprise software, secure deployments, customer-controlled environments, and demanding enterprise requirements. High hiring and execution bar: You will be expected to hire quickly, maintain a high bar, and lead a growing platform organization while delivering against an ambitious product roadmap. Security and regulatory accountability: The role requires deep experience with enterprise