Senior Remote AI Software Engineering Program Lead

Braintrust; United States; Remote; USD 105,000 - 149,000; Part time

Job summary

Braintrust is seeking a Senior Technical Program Lead - AI Software Engineering for a remote, three-month contract. You will lead delivery across large software-engineering programs, coordinating distributed engineers and defining concrete task specifications aligned with AI research goals.

You will review code, understand tests, and use data to improve how technical work gets done, with hands-on involvement and leadership responsibilities across teams.

Qualifications

• Leadership of large software-engineering programs with distributed teams.
• Experience with AI software delivery and PM practices.
• Strong metrics-driven delivery improvement.

Responsibilities

• Own delivery across scope, schedules, quality, throughput and cost.
• Build workflows for coding datasets, repository tasks, AI-agent trajectories, RL environments, benchmarks and evaluations.
• Improve instructions, review processes, incentives and capacity planning to resolve bottlenecks.
• Partner with talent teams to define contributor needs, assess engineers and support onboarding.
• Build team-lead and reviewer structures for distributed programs with hundreds of contributors.
• Analyze quality trends and recurring errors, address underlying causes.
• Serve as a key customer contact, communicating progress, risks and recovery plans.
• Use Python, SQL or similar tools to automate quality sampling, defect analysis and reporting.
• Turn workflows into reusable playbooks and mentor other leads.

Skills

Program leadership

Distributed teams

Data-driven

Stakeholder comms

Code reviews

Job description

Braintrust is seeking a Senior Technical Program Lead - AI Software Engineering for a remote, three-month contract. You will lead delivery across large software-engineering programs, coordinating distributed engineers and defining concrete task specifications aligned with AI research goals.

You will review code, understand tests, and use data to improve how technical work gets done, with hands-on involvement and leadership responsibilities across teams.