Technical Program Manager, Developers Infrastructure

Meta; Menlo Park, Seattle (CA, WA); On-site; USD 190,000 - 270,000; Full time

Job summary

Meta seeks a Technical Program Manager to lead product risk and compliance initiatives across the stack, shaping scalable systems for billions of users. You will partner with product and platform teams to design, build, and operate risk management tools.

You will drive planning across time zones, guide multi‑team delivery, and advance AI‑driven governance workflows. The role demands strategic thinking, technical depth, and strong collaboration with stakeholders.

Qualifications

• Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
• 12+ years of experience in software, systems, or hardware engineering, or in technical product/program management.
• Experience delivering technical programs or products from inception through delivery.
• Experience leading across multiple teams and coordinating with partners across time zones.
• Familiarity with Android or firmware development.
• Experience implementing responsible, ethical AI practices.

Responsibilities

• Lead design, build, and operation of risk management systems for product risk and compliance.
• Drive planning and prioritization for multiple teams across time zones.
• Develop scalable regulatory readiness solutions and incident management capabilities.
• Integrate AI tools to optimize workflows and drive measurable impact.

Skills

12+ years experience in software/syst‑

Experience delivering technical prog./

Requirement gathering & scoping

Cross‑team leadership

CI/CD & testing frameworks

Android/firmware familiarity

Ethical AI practices knowledge

AI tools integration to optimize workl

Education

Bachelor’s degree in Computer Science or related field

Job description

Meta is seeking a Technical Program Manager (TPM) with extensive experience in product or platform development within the domains of product risk or product compliance, spanning all layers of the technology stack. This role will drive the development of complex distributed systems that safeguard the information shared by billions of users.

This individual will play a key leadership role within our Product Risk and Compliance organization, working collaboratively to design, build, and operate the risk management systems that empower Meta to innovate. They will leverage data and foresight to shape long-term strategies and drive planning and prioritization for the teams they support. The role will involve working on a broad and varied set of challenges, including building scalable regulatory readiness solutions, evolving incident management, establishing privacy engineering platforms, and developing advanced tools for product risk and compliance.

• Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience12+ years of experience in software, systems, or hardware engineering, or in technical product/program management
• Experience delivering technical programs or products from inception through delivery
• Knowledge of assessing user needs, gathering requirements, and defining scope
• Experience independently leading across multiple teams, demonstrating critical thinking and thought leadership
• Experience communicating and collaborating with technical management teams to design and deliver systems, solutions, and products
• Experience in analytical thinking and problem-solving applied to large-scale systems
• Experience establishing and maintaining working relationships across multidisciplinary teams and with partners across multiple time zones
• Familiarity with operating system platforms such as Android or firmware development
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience managing developer relationships and coordinating roadmaps and deliverables with third-party partners
• Experience in software development and deployment of large-scale web applications with global usage
• Experience adjusting priorities and approaches in response to evolving requirements, shifting timelines, or new stakeholder needs
• Knowledge of software development processes, including Continuous Integration/Continuous Deployment (CI/CD) and testing frameworks
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Background in enterprise Software as a Service (SaaS) or direct engagement with business customers
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)