About the role
About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com At Turing, we are building the trust, intelligence, and workflow infrastructure that powers how top global talent gets discovered, evaluated, and hired. We are looking for a highly capable engineering leader to help architect and build a new generation of AI-first vetting systems that improve talent integrity, capability assessment, and hiring experience at scale. This role sits at the intersection of platform engineering, applied AI, product thinking, and execution. The right person will not just ship isolated features, but build durable systems that can support multiple products and use cases over time. What you will own: Build and scale core components of Turing’s vetting platform, with initial focus on: AI Interviewer Task-based vetting platform Fraud and integrity checks Design platform-level systems rather than siloed point solutions, with strong emphasis on extensibility, reuse, and long-term maintainability Partner closely with Product, Design, Data, and Operations to translate ambiguous business problems into scalable technical systems Lead architecture and implementation for high-scale, high-reliability user-facing and internal workflows Improve system quality across UX, performance, observability, and developer velocity Help establish technical direction, engineering standards, and execution rigor for a fast-moving, AI-forward org Mentor engineers and raise the bar on engineering craftsmanship, systems thinking, and speed of execution What we are looking for: 8+ years of software engineering experience, with strong depth in backend/platform systems Experience building and scaling complex product or platform systems used in production Strong systems design skills, with the ability to think in platforms, primitives, and reusable abstractions rather than one-off features Proven ability to operate in ambiguous environments and convert evolving
