Jobs at Turing

Lead end-to-end GenAI engagements for Fortune 500 clients: drive client relationships, select use cases, provide technical direction, manage delivery timelines, coordinate cross-functional teams, mitigate risks, and ensure business impact from POC to full-scale implementation.

Own the vision, roadmap, prioritization, and delivery of back-office operations and controls platforms supporting fund accounting and global finance. Partner with controllers, finance, operations, engineering, and technology teams to modernize workflows, reporting, automation, and governance. Translate fund control requirements into product specifications, user stories, and acceptance criteria while managing dependencies, risks, milestones, and stakeholder communication. Identify practical AI opportunities to improve operational efficiency.

Lead end-to-end delivery of software-engineering data programs for frontier AI labs: design and run data pipelines, coordinate 100–1,000+ contributors, ensure annotation and dataset quality, manage client relationships, diagnose bottlenecks, and codify scalable operational playbooks.

Lead design, development, fine-tuning, and deployment of LLM-based GenAI solutions (RAG, agents, prompt engineering). Own technical roadmaps, drive engineering delivery, mentor teams, integrate cloud deployments (Azure/GCP/AWS), maintain Python/SQL codebases (LangChain/LangGraph), and collaborate with product, data science, and business stakeholders.

The Forward Deployed AI Engineer designs, builds, and deploys intelligent applications using Python and related technologies, addressing customer needs and leading deployment projects.

Lead discovery with stakeholders to map workflows and controls, write clear problem statements and delivery-ready requirements (user stories, acceptance criteria), partner with product and engineering, support UAT and testing, maintain traceability and auditability, and use AI tools responsibly to accelerate analysis and documentation.

Lead product marketing for Turing’s Frontier AI business by developing positioning, messaging, launch plans, technical content, customer research, competitive intelligence, and sales enablement. Partner with AI researchers, Sales, and Customer Success to translate complex AI capabilities into compelling value propositions, support product adoption, and inform roadmap decisions through customer and market insights.