Technical Program Operations Lead - AI Engineering

About the role

We are looking for an experienced Technical Program Operations Lead to own the production systems behind large‑scale AI and software‑engineering data programs. You will turn complex research requirements into predictable delivery across quality, throughput, contributor performance, timelines, and cost.

Key responsibilities

• Own end‑to‑end program delivery across scope, timelines, quality, throughput, contributor performance and cost.
• Design and manage workflows for coding datasets, agentic trajectories, reinforcement‑learning environments, benchmarks and rubric‑based evaluations.
• Identify operational bottlenecks and improve workflows through better instructions, sequencing, incentives, review systems and capacity planning.
• Define contributor requirements and partner with talent teams to source, assess, onboard, train and ramp distributed software engineers.
• Build team‑lead and reviewer structures for programs involving 100‑1,000+ contributors.
• Own quality‑control systems, analyse datasets for trends, systematic errors and root causes.
• Act as primary customer contact for AI labs, communicating progress, risks, quality trends and recovery plans.
• Automate quality sampling, defect analysis, throughput reporting and operational reviews using Python, SQL or similar tools.

Required profile

• Proven experience leading complex, multi‑stakeholder programs in software engineering, technical program management, consulting, finance, startups or operations.
• Strong analytical and problem‑solving skills, with ability to identify bottlenecks, define metrics and improve production performance.
• Experience managing distributed teams, contributor networks or large‑scale technical operations.
• Excellent customer‑facing communication skills, including managing expectations and communicating risks.
• Ability to read and review code, understand test suites and independently assess technical work.
• Working knowledge of at least one programming language such as Python, TypeScript, Java or Go.
• Experience using data and operational metrics to monitor quality, throughput, performance and delivery.

Required skills

• Python
• SQL
• TypeScript
• Java
• Go