Strategic Project Lead, Software Engineering

New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States

About Turing

Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com.

About the Position

You will own the production system behind Turing’s software-engineering data programs, turning complex research requirements into predictable delivery across quality, throughput, contributor performance, timelines, and cost.

These programs may involve supervised coding demonstrations, repository-level tasks, agentic trajectories, reinforcement-learning environments, benchmarks, code review, and rubric-based evaluations. They can require coordinating hundreds of distributed software engineers while responding quickly to changing research requirements.

This is an operations leadership role with a meaningful technical bar. You must be able to inspect code, understand tests, interrogate quality signals, and challenge a workflow or rubric when it is not producing the intended result. You will not be expected to act as the principal engineer for every program. Your primary responsibility is to build and operate the system that consistently produces high-quality technical work at scale.

Responsibilities

1. Operational Execution

   • Design and manage data pipelines from customer specification to final delivery, with full accountability for scope, timeline, and quality.
   • Diagnose bottlenecks in real time - re-sequence workflows, refine instructions, create incentive systems, and scale review processes to hit throughput targets.
   • Run daily “war room” syncs to stay ahead of issues before they reach the customer.

2. Customer Relationships

   • Act as the primary point of contact for researchers and program managers at frontier AI labs.
   • Deliver clear, consistent reporting and proactively anticipate client needs before they ask.
   • Build the kind of long-term trust that converts a one-off project into a multi-year partnership - and identify expansion opportunities along the way.

3. Large-scale Coordination

   • Source, vet, onboard, train, and performance-manage domain experts across distributed workspaces.
   • Maintain high execution standards at every stage of production, from annotation through review through delivery.
   • Design motivation and performance systems - including gamification - that keep large contributor pools engaged and output high.

4. Quality Ownership

   • Own quality control across the annotation lifecycle: set the bar, measure against it, and close the gap when it slips.
   • Analyze datasets to identify trends, anomalies, and systematic errors - then fix the root cause, not just the symptom.
   • Implement and continuously improve annotation, evaluation, and curation best practices.

5. Process Innovation

   • Stay ahead of emerging practices in AI data operations and apply them before customers ask.
   • Champion workflow changes that reduce task completion times and improve cost efficiency.
   • Maintain clear, scalable documentation so that improvements survive beyond any single project.

6. Playbook Building

   • Document onboarding scripts, quality benchmarks, contributor management frameworks, and escalation patterns.
   • Own your domain’s section of the SPL knowledge base.
   • Actively mentor the next hire - your playbook is your legacy.

Requirements

• Background in consulting, finance, startups, or other operationally intense environments, with a proven track record of managing complex, multi-stakeholder projects.
• Strong analytical and communication abilities: you can spot a bottleneck in a noisy production environment, build a measurement plan, and communicate the fix to a demanding client in plain language.
• Customer-facing experience: comfortable working directly with high-profile clients, managing expectations, and building long-term relationships.
• Excited by gritty process optimization and large-scale execution - you thrive on making complex operations faster, cleaner, and more reliable.

We Offer

• Work directly with the world’s leading AI labs at the cutting edge of post-training, evaluation, and agentic AI research.
• Real impact on the path to AGI: the data you deliver will directly influence how frontier models are trained and evaluated.
• High ownership and influence. You will shape how Turing delivers at scale, with direct visibility to senior leadership.
• Direct-to-research customers. You will spend your time partnering with the people building the future of AI, not coordinating with procurement.

Compensation

• Base Salary: $120K-$200K
• Total Target Compensation: $195K-$300K (includes salary, variable, and equity)

Senior SPL:

• Base Salary: $150K-$280K
• Total Target Compensation: $300K-$500K (includes salary, variable, and equity)

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 AI forward: We help our clients build the future of AI and implement it in our own roles and workflow to amplify productivity.

How to Apply

Send a CV and a short note on a project you managed end-to-end - ideally something that required coordinating a large team, managing a demanding client, or solving a hard quality problem under time pressure - to [email protected]. We read every submission.

Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here.