We build advanced simulation environments that allow AI agents to practice complex, real-world tasks and improve through reinforcement learning. Our systems and high-quality training data support leading AI research teams in advancing agent capabilities at scale.
We are experiencing rapid growth and are looking for a Strategic Projects Lead (SPL) to help scale and optimize our data operations. This is a hands-on, high-ownership role for someone who thrives in ambiguity, moves quickly, and enjoys building scalable systems from the ground up.
As an SPL, you will own the end-to-end production of reinforcement learning training data — from translating customer specifications into execution plans through final delivery. Your work will directly influence data quality, operational efficiency, revenue performance, and margin expansion.
Own complex, end-to-end data production pipelines from requirements gathering to final output
Design and implement automation and workflow improvements to increase throughput, quality, and scalability
Partner closely with engineering, product, and leadership during a period of rapid expansion
Recruit, manage, and deploy high-skill talent across AI data initiatives
Establish operational frameworks that balance quality, speed, and cost efficiency
Drive measurable improvements in performance across systems and teams
This role requires a deep commitment to both quality and velocity. You will apply analytical rigor, quantitative reasoning, strong judgment, and creative problem-solving to move data efficiently through complex systems — often with incomplete information.
You are an entrepreneurial operator who is comfortable diving into details while maintaining accountability for outcomes. You are energized by high-intensity, high-impact work and motivated by accelerating progress at the frontier of AI.
Ideally, you bring:
Exceptional problem-solving skills and a data-driven mindset for improving systems and processes
Technical fluency (experience with SQL, Python, or similar tools preferred)
Experience hiring, coaching, and managing fast-paced teams
Strong cross-functional collaboration skills and the ability to communicate complex concepts to non-technical stakeholders
An entrepreneurial mindset with a bias toward action and iteration
A genuine interest in advancing AI systems and applied machine learning