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
- 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 intensityKey Expectations - Operate in a fast-paced, high-ownership environment
- Manage time-sensitive, high-pressure deliverables
- Occasionally work across time zones / off-hours when required
- Maintain a very high bar for quality and execution
Values: - We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing: - 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
