Program Manager, Applied AI Engineering

Meta•Redmond, WA

5d•$145,000 - $205,000

About The Position

The Program Manager will join the Applied AI Engineering (AAI Eng) Strategy and Operations team, managing business operations across the organization and working closely with leadership to help the business grow, scale, and operate effectively. The role runs the core operating system for AAI Labs, an incubator within AAI Eng where small teams of entrepreneurial engineers propose, build, and potentially ship products, tools, and infrastructure. The role owns the end-to-end AAI Labs program lifecycle, from proposal intake and evaluation through project progress tracking and graduation decisions. It brings consistency and speed to a high-volume portfolio involving hundreds of concurrent projects.

Requirements

Bachelor’s degree or foreign equivalent.
8+ years of experience in program management running complex, multi-team programs at a leading or startup technology company.
Experience working directly with software engineers and engineering leaders, with sufficient technical fluency to assess project progress.
Demonstrated ability to drive clear decisions, including difficult cut or deprioritization calls, in ambiguous environments.
Quantitative, analytical, and conceptual problem-solving skills combined with business acumen.
Experience problem-solving individually and in a group setting, with an AI-first mindset.

Nice To Haves

BA/BS degree in business, finance, or engineering.
Experience running an incubator, accelerator, hackathon program, or portfolio of early-stage projects.
Experience automating program operations with dashboards, AI tools, or workflow tooling.
Experience organizing, developing, and executing strategic projects that deliver results.
Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact, such as efficiency gains or quality improvements.
Experience adhering to and implementing responsible, ethical AI practices, such as risk assessment, bias mitigation, and quality and accuracy reviews.
Demonstrated ongoing AI skill development, such as prompt/context engineering or agent orchestration, and staying current with emerging AI technologies.

Responsibilities

Own the proposal process end to end by defining acceptance criteria, running reviews, and keeping the high-volume pipeline moving with clear, timely decisions.
Build and operate the portfolio tracking system for hundreds of concurrent projects, including milestones, health signals, and data-generation targets.
Design and run regular project evaluations, and drive milestone, pivot, cut, and graduation decisions with AAI Labs leadership.
Create rubrics, calibration processes, and documented standards to make decisions consistent across reviewers.
Plan and run intake batches, including onboarding, launch backlog, and cadence.
Report portfolio health and outcomes to senior leadership, and turn insights into program improvements.
Identify bottlenecks in the AAI Labs operating model and address them through process, tooling, and automation.