Program Manager, Applied AI Engineering

Meta; Redmond; On-site; AUD 211,000 - 298,000; Full time

Job summary

Meta in Australia is seeking a Program Manager for Applied AI Engineering (AAI Eng) to run the end-to-end lifecycle of the AAI Labs program within Strategy and Operations. You will partner with leadership to manage hundreds of projects, drive proposals, milestones, and graduation decisions, and ensure consistent performance across the portfolio.

You will build tracking systems, set review rubrics, and push for process improvements using automation and dashboards.

Qualifications

• Bachelor’s degree or foreign equivalent.
• 8+ years of experience in program management running complex, multi-team programs at leading or startup tech company
• Experience working directly with software engineers and engineering leaders, with enough technical fluency to assess project progress
• Demonstrated ability to drive clear decisions, including difficult cut or deprioritize 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

Responsibilities

• Own the proposal process end to end: define acceptance criteria, run the review process, and keep a high-volume pipeline moving with clear, timely decisions.
• Build and run 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 the AAI Labs leadership team.
• Make decisions consistent across reviewers by creating rubrics, calibration and documented standards.
• Plan and run intake batches: onboarding, launch backlog and cadence.
• Report on portfolio health and outcomes to senior leadership, and turn insights into program improvements.
• Identify bottlenecks in the AAI Labs operating model and fix them through process, tooling and automation.

Skills

Program management

Technical fluency

Decision making

Analytical thinking

AI mindset

Education

Bachelor’s degree

Job description

Summary:

As a Program Manager for Applied AI Engineering (AAI Eng) organization, you will be a part of the team that manages the business operations across the entire org, working closely with leadership to help them grow, scale and run the business effectively. Sitting in the Strategy and Operations team, you will run the core operating system of AAI Labs. AAI Labs is an incubator inside AAI Eng, where small pods of entrepreneurial engineers propose, build and potentially ship real products, tools and infrastructure. You will own the end-to-end AAI Labs program lifecycle: from proposal intake and submission evaluation, progress tracking, through to the graduation decision making process. You will bring consistency and speed to a high-volume portfolio, where AAI Labs runs hundreds of projects at once.

Required Skills:

Program Manager, Applied AI Engineering Responsibilities:

1. Own the proposal process end to end: define acceptance criteria, run the review process, and keep a high-volume pipeline moving with clear, timely decisions.




2. Build and run the portfolio tracking system for hundreds of concurrent projects, including milestones, health signals and data-generation targets.




3. Design and run regular project evaluations, and drive milestone, pivot, cut and graduation decisions with the AAI Labs leadership team.




4. Make decisions consistent across reviewers by creating rubrics, calibration and documented standards.




5. Plan and run intake batches: onboarding, launch backlog and cadence.




6. Report on portfolio health and outcomes to senior leadership, and turn insights into program improvements.




7. Identify bottlenecks in the AAI Labs operating model and fix them through process, tooling and automation.

Minimum Qualifications:

1. Bachelor’s degree or foreign equivalent




2. 8+ years of experience in program management running complex, multi-team programs at leading or startup tech company




3. Experience working directly with software engineers and engineering leaders, with enough technical fluency to assess project progress




4. Demonstrated ability to drive clear decisions, including difficult cut or deprioritize calls, in ambiguous environments




5. Quantitative, analytical, and conceptual problem-solving skills combined with business acumen




6. Experience problem-solving individually and in a group setting, with an AI-first mindset

Preferred Qualifications:

1. BA/BS degree in business, finance, or engineering




2. Experience running an incubator, accelerator, hackathon program or portfolio of early-stage projects




3. Experience automating program operations with dashboards, AI tools or workflow tooling




4. Experience organizing, developing, and executing strategic projects that deliver results




5. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)




6. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)




7. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Public Compensation:

$145,000/year to $205,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affimative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].