AI Labs Portfolio Manager — Strategy & Execution

Meta; Seattle (WA); On-site; USD 145,000 - 205,000; Full time

Job summary

Meta seeks a Program Manager for Applied AI Engineering (AAI Eng) to run the end-to-end AAI Labs program lifecycle, manage a high-volume portfolio, and drive strategic outcomes. You will work with leadership to scale operations, evaluate milestones, and accelerate decision making across hundreds of projects.

Ideal candidates have 8+ years in complex program management, strong collaboration with software engineers, and a proven ability to implement AI tools to optimize workflows.

Qualifications

• Bachelor’s degree or foreign equivalent.
• 8+ years of experience managing complex, multi-team programs at leading or startup tech company.
• Experience working with software engineers and engineering leaders with technical fluency.
• Ability to drive clear decisions in ambiguous environments.
• AI-first mindset with analytical and business acumen.

Responsibilities

• Own the end-to-end proposal process and maintain a high-volume pipeline with timely decisions.
• Build and run the portfolio tracking system for hundreds of concurrent projects.
• Design and run regular project evaluations and graduation decisions with leadership.
• Create rubrics and standards to ensure consistency across reviewers.
• Plan and run intake batches including onboarding and cadence.
• Report portfolio health and outcomes to senior leadership and drive improvements.
• Identify bottlenecks in the operating model and fix them via process, tools, and automation.

Skills

Program management

Cross-functional leadership

Technical fluency

Analytical thinking

AI-first mindset

Education

Bachelor’s degree

BA/BS in business or engineering

Tools

Dashboards

Workflow tooling

AI tools

Data pipelines

Job description

Meta seeks a Program Manager for Applied AI Engineering (AAI Eng) to run the end-to-end AAI Labs program lifecycle, manage a high-volume portfolio, and drive strategic outcomes. You will work with leadership to scale operations, evaluate milestones, and accelerate decision making across hundreds of projects.

Ideal candidates have 8+ years in complex program management, strong collaboration with software engineers, and a proven ability to implement AI tools to optimize workflows.