Senior Technical Program Lead - AI Software Engineering (International)

What You'll Do9

• Own delivery end to end: scope, schedules, quality, throughput, contributor performance and cost.
• Design workflows that support coding datasets, repository-level tasks, AI-agent trajectories, reinforcement-learning environments, benchmarks and technical evaluations.
• Clear delivery bottlenecks by reworking instructions, review steps, incentives and capacity planning.
• Partner with talent teams to define contributor profiles, assess engineers, and run onboarding, training and ramp-up.
• Set up team-lead and reviewer structures for distributed programs that involve hundreds of contributors.
• Track quality trends and repeated errors, then remove the causes behind them.
• Serve as the main customer contact: report progress, flag risks, present recovery plans, and convert research objectives into practical task specifications.
• Automate quality sampling, defect analysis and operational reporting with Python, SQL or comparable tooling.
• Turn workflows that work into reusable playbooks and mentor other program leads.

Requirements6

• Experience leading complex, multi-stakeholder programs in software engineering, technical program management, consulting, finance, startups, operations or a similar setting.
• Background managing distributed teams, contributor networks, marketplaces or large-scale technical operations.
• Strong analytical judgment, with a record of defining useful metrics and raising delivery performance.
• Clear customer-facing communication: setting expectations, explaining risks and building working relationships.
• Ability to read and review code, understand test suites, and assess technical work on its own merits in languages such as Python, TypeScript, Java or Go.
• Commitment to at least eight hours per day and 40 hours per week, including four hours of overlap with Pacific working hours.

Who Should Apply

Program leads who have run distributed engineering operations and still read code without hesitation. You will fit if you can define metrics, trace recurring defects to their source, and hold a customer conversation about risk while keeping delivery on track.

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