Technical Program Manager, Capacity Planning and Delivery

Meta; Bellevue (WA); On-site; USD 180,000 - 260,000; Full time

Job summary

Meta in Bellevue is seeking a Staff Technical Program Manager to lead large-scale, cross-organizational technical programs. You will translate complex technical challenges into structured execution plans and influence direction across multiple engineering and product teams.

You will partner with leaders to define strategy, manage risk, and deliver outcomes that advance Meta's infrastructure and product goals at scale.

Qualifications

• 10+ years in technical program management or related field.
• Deep technical assessments of complex systems to guide strategy.
• Experience building cross-organizational program structures and dashboards.
• Ability to influence decisions across engineering teams and leaders.
• Quantitative methods to evaluate risks, scope, and impact.
• Driving adoption of new technologies across large orgs.
• Scaling TPM frameworks across multiple domains.
• Ongoing AI skill development and staying current with AI tech.
• Mentoring PMs and contributing to hiring and onboarding.
• Adherence to responsible, ethical AI practices.

Responsibilities

• Lead and deliver large-scale cross-organizational programs across engineering and product teams.
• Translate complex technical challenges into structured execution plans and risk registers.
• Influence technical decisions and align stakeholders through structured comms.
• Develop and scale TPM practices, dashboards, and reporting across domains.
• Drive the adoption of AI tools and architectural changes at scale.

Skills

TPM leadership

Cross-functional leadership

Stakeholder communication

Risk management

Dependency tracking

Executive reporting

AI awareness

Mentoring PMs

Ethical AI

Architectural change

Job description

Meta is seeking a Technical Program Manager (TPM) at the staff level to lead and deliver large-scale, cross-organizational technical programs. In this role, you will apply deep technical expertise and strategic program leadership to drive alignment across multiple engineering and product teams, translate complex technical challenges into structured execution plans, and influence the technical direction of programs that have broad organizational impact. You will partner with engineering leaders and cross-functional stakeholders to define program strategy, manage risk, and deliver outcomes that advance Meta's technical infrastructure and product goals at scale.

Qualifications

• 10+ years of experience in technical program management, software engineering, or a related technical field, with demonstrated ownership of large-scale, cross-organizational programs
• Experience conducting deep technical assessments across complex, interdependent systems and translating findings into program strategy and stakeholder recommendations
• Experience building and managing program structures for cross-organizational programs, including risk registers, dependency tracking, and executive-level reporting and dashboards
• Experience influencing technical decisions and driving alignment across multiple engineering teams and organizational leaders through structured communication and stakeholder engagement
• Experience applying quantitative methods to evaluate and prioritize program risks, including timeline, scope, and business impact analysis
• Experience driving adoption of new technologies or architectural changes across large, distributed engineering organizations
• Experience scaling program management frameworks and best practices across a TPM organization or multiple product domains
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience mentoring other program managers and contributing to hiring, onboarding, or community-building initiatives within a TPM function
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)