Strategic Project Lead - Code

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 Role Overview We are looking for Strategic Project Leads (SPLs) to drive large-scale AI data operations and lead high-impact programs for frontier AI labs. This is a hands-on, people management + operations leadership role at the intersection of AI, data, and large-scale execution . You will own end-to-end delivery of complex AI workflows (e.g., RLHF, SFT, model evaluation, benchmarking), manage large distributed teams, and ensure high-quality output under aggressive timelines. This role is ideal for sharp, high-pedigree operators (Top tier MBA) who thrive in ambiguity, enjoy solving complex problems, and can scale both systems and teams. What You’ll Do 1. End-to-End Delivery Ownership Own execution of large-scale AI data programs (multi-million dollar scope) Translate ambiguous client/research requirements into structured workflows Drive delivery across RLHF, SFT, coding annotation, and model evaluation pipelines Ensure outcomes across quality, speed, and cost Operations & Systems Leadership Design and optimize end-to-end data pipelines Identify bottlenecks and implement improvements in: Throughput Quality Cost efficiency Build scalable systems including: Workflow design Incentive structures Review and QA mechanisms Drive continuous iteration and process improvement (“build → test → refine” loops) People & Team Leadership (Core to Role) Lead and manage large distributed teams (100s to 1000+ contributors) Build and manage pods/team structures Drive performance through: Clear goal setting Quality benchmarks Feedback loops Hire, train, and mentor high-performing operators Act as a force multiplier for team productivity and output Client & Stakeholder Management Act as the primary interface with AI researchers and enterprise clients Build strong, trust-based relationships with stakeholders Provide structured updates, insights, and recommendations Anticipate client needs and drive proactive problem solving AI Model Evaluation & Benchmarking Work on model benchmarking initiatives (e.g., hill climbing benchmarks) Design prompts and evaluates outputs across models (GPT, Claude, Gemini, etc.) Analyze performance gaps and drive improvements Contribute to building evaluation frameworks and quality standards Cross-Functional Collaboration Partner closely with R&D / FDL teams (e.g., Anshul’s team) on technical alignment Bridge the gap between research and operations Translate technical requirements into scalable execution plans What We’re Looking For Experience: 4–10 years (MBB/Tier-1), high-growth startups, or strategy & operations/program management/Human Data management roles in high-intensity environments Education (Preferred): MBA from top US university or leading global management programs Problem Solving & Ownership: Strong first-principles thinking with the ability to break down ambiguous problems and build scalable solutions (0→1, 1→10) Operations Excellence: Proven experience managing complex workflows with a focus on throughput, quality, efficiency, and data-driven decision making People Leadership: Experience managing teams or pods; ability to drive performance, accountability, and team development Tech Literacy: Comfortable working with AI/ML workflows (LLMs, RLHF, evaluation); able to collaborate effectively with technical teams and understand data pipelines Coding Proficiency: Coding proficiency, preferably in Python , to perform data validation, write simple quality checks/scripts, and ensure output correctness in coding workflows Communication: Clear, structured communicator with strong client-facing and stakeholder management skills   What This Role is NOT Not a pure software engineering role Not a strategy-only or PPT-driven role Not a passive program management role This is a builder + operator role with ownership and intensity   Key Expectations Operate in a fast-paced, high-ownership environment Manage time-sensitive, high-pressure deliverables Occasionally work across time zones / off-hours when requi