Strategic Project Lead - Code

Turing • San Francisco, CA

1d • Remote

About The Position

Turing is seeking Strategic Project Leads (SPLs) to spearhead large-scale AI data operations and lead significant programs for leading AI research labs. This is a hands-on role that combines people management and operational leadership at the intersection of AI, data, and large-scale execution. The SPL will be responsible for the complete delivery of complex AI workflows, including RLHF, SFT, model evaluation, and benchmarking. They will manage extensive distributed teams and ensure high-quality results within demanding timelines. This position is ideal for highly capable individuals, particularly those with a Top-tier MBA, who excel in ambiguous environments, enjoy tackling complex challenges, and can effectively scale both systems and teams.

Requirements

• 4–10 years of experience in roles such as MBB/Tier-1 consulting, high-growth startups, or strategy & operations/program management/Human Data management in high-intensity environments.
• Strong first-principles thinking with the ability to break down ambiguous problems and build scalable solutions (0→1, 1→10).
• Proven experience managing complex workflows with a focus on throughput, quality, efficiency, and data-driven decision making.
• Experience managing teams or pods, with the ability to drive performance, accountability, and team development.
• Comfortable working with AI/ML workflows (LLMs, RLHF, evaluation) and able to collaborate effectively with technical teams.
• Ability to understand data pipelines.
• Clear, structured communication skills with strong client-facing and stakeholder management abilities.

Nice To Haves

• MBA from a top US university or leading global management programs.

Responsibilities

• Own the execution of large-scale AI data programs, potentially with multi-million dollar scopes.
• Translate ambiguous client or research requirements into structured, actionable workflows.
• Drive delivery across various AI data pipelines, including RLHF, SFT, coding annotation, and model evaluation.
• Ensure successful outcomes in terms of quality, speed, and cost.
• Design and optimize end-to-end data pipelines, identifying and addressing bottlenecks to improve throughput, quality, and cost efficiency.
• Build scalable systems for workflow design, incentive structures, and review/QA mechanisms.
• Implement continuous iteration and process improvement through 'build → test → refine' loops.
• Lead and manage large distributed teams, potentially numbering from hundreds to over a thousand contributors.
• Build and manage effective pod or team structures.
• Drive team performance through clear goal setting, quality benchmarks, and feedback loops.
• Hire, train, and mentor high-performing operators, acting as a force multiplier for team productivity.
• Serve as the primary interface with AI researchers and enterprise clients, building trust-based relationships.
• Provide structured updates, insights, and recommendations to stakeholders.
• Anticipate client needs and proactively solve problems.
• Contribute to model benchmarking initiatives, such as hill climbing benchmarks.
• Design prompts and evaluate outputs from various AI models (e.g., GPT, Claude, Gemini).
• Analyze performance gaps and drive improvements in AI models.
• Contribute to the development of evaluation frameworks and quality standards.
• Collaborate closely with R&D and Frontier Development Lab (FDL) teams for technical alignment.
• Bridge the gap between research and operational execution.
• Translate technical requirements into scalable execution plans.

Benefits

• Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
• Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
• Competitive compensation
• Flexible working hours

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 501-1,000 employees