Technical Program Manager, Capacity Planning and Delivery

Meta; Menlo Park (CA); On-site; USD 199,000 - 272,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking a Technical Program Manager to drive capacity planning and delivery at scale for its global infrastructure. You will lead end-to-end capacity programs across compute, storage, GPU and network capacity, coordinating with engineering, data science, and stakeholders to meet product demands.

With 12+ years in technical program management, you will forecast demand, manage risks, and guide delivery milestones while mentoring other TPMs.

Qualifications

• 12+ years of technical program management experience.
• 8+ years in Technical Program Management.
• Experience leading large-scale, cross-functional programs with significant impact.
• Proven ability to influence roadmaps and communicate to senior leadership.
• Mentoring and developing other technical program managers.
• Ability to navigate ambiguity and structure multi-year programs.
• Experience with capacity planning, infrastructure systems, or related domains.

Responsibilities

• Lead TPM of capacity planning and delivery for Meta Infrastructure across compute, storage, GPU, and network capacity.
• Own end-to-end capacity planning cycles from demand forecasting to production delivery at scale.
• Drive forecasting and modeling with data science and engineering teams.
• Perform risk assessment, mitigation, and change management on capacity programs.
• Coordinate cross-functional reviews and communicate status and tradeoffs to leadership.

Job description

Meta is seeking a Technical Program Manager (TPM) with capacity planning and delivery experience at scale. This position will work with cross-functional teams to drive the planning, allocation, and delivery of compute, storage, and network capacity across Meta's global infrastructure. This role requires engagement with internal engineering teams, data scientists, and stakeholders to ensure capacity meets the demands of Meta's products and services. Meta's Infrastructure Engineering organization is responsible for the growth, management, and 24x7 upkeep of all Meta's products and services.Technical Program Manager, Capacity Planning and Delivery Responsibilities:Lead technical program management of capacity planning and delivery for Meta Infrastructure in a matrix organization covering compute, storage, GPU, and network capacityOwn overall program success spanning end-to-end capacity planning cycles, from demand forecasting through allocation and delivery to production workloads at scaleDevelop and manage capacity programs including defining scope, requirements, delivery milestones, schedules, and deliverables with engineering teams, partners, and stakeholdersDrive capacity forecasting and modeling efforts, collaborating with data science and engineering teams to anticipate infrastructure needsProvide hands-on program management during capacity planning, allocation, deployment, and optimization phasesPerform risk assessment, risk mitigation, and change management on capacity programsDrive process improvements across capacity planning, supply chain, and delivery workflowsCoordinate cross-functional capacity reviews and communicate status, risks, and tradeoffs to leadershipMinimum Qualifications:12+ years of experience in technical program management, infrastructure engineering, or a related technical discipline8+ years of experience in Technical Program ManagementExperience leading large-scale, cross-functional programs with significant organizational impactExperience driving strategic technical initiatives and influencing roadmaps across multiple teamsExperience with executive-level communication, including presenting to senior leadershipExperience mentoring and developing other technical program managersExperience navigating ambiguity and defining structure for complex, multi-year programsExperience with capacity planning, infrastructure systems, or related domainsPreferred Qualifications:Experience with data center architecture and deploymentDemonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Experience supporting AI/ML infrastructure capacity needsDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience with capacity modeling, demand forecasting, or resource optimizationExperience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Experience with supply chain planning and vendor coordinationAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative 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].$199,000/year to $272,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.