A complete application in a minute — tailored resume and cover letter, ready to send.
Meta seeks a Technical Program Manager in Risk to lead large-scale programs that strengthen risk management across products and infrastructure.
You will work with engineering, product, legal, policy, and compliance to design, build, and scale controls and tooling that keep Meta's systems trustworthy at scale. You will drive end-to-end risk programs from identifying emerging risks to implementing and sustaining effective controls and evidence of effectiveness.
Meta's Risk organization seeks a Technical Program Manager (TPM) to lead complex, large-scale programs that strengthen how risk is managed across the company. In this key position, you will collaborate across engineering, product, legal, policy, and compliance teams to design, build, and scale the frameworks, controls, and tooling that keep Meta's products and infrastructure trustworthy at scale.You will be responsible for driving risk programs end to end, from identifying and assessing emerging risks through the design, implementation, and sustained operation of controls and safeguards. This includes developing and refining repeatable frameworks for risk assessment, mitigation, and evidence of effectiveness, ensuring robust and predictable execution, and proactively resolving technical and organizational challenges to maintain program momentum.You will use your problem-solving, technical acumen, and business insight to scale how risk is identified, mitigated, and demonstrably managed across Meta's products and infrastructure. You will communicate transparently across all levels, motivate multidisciplinary teams, and champion best practices to deliver durable, auditable outcomes that reduce risk and strengthen trust in Meta's systems.
Technical Program Manager, Risk Organization Responsibilities:
Establish and lead effective program teams to ensure alignment and achieve common objectives
Work closely with engineering, product, legal, policy, and compliance stakeholders to define program requirements, prioritize initiatives, and establish scope, including shaping the roadmap and long-term strategy for partner teams
Create and implement communication strategies to proactively share program status, challenges, and risks with stakeholders
Drive successful outcomes by actively managing cross-functional dependencies, mitigating risks, and adjusting scope, timeline, and resources as needed
Collaborate with cross-functional teams to lead the end-to-end lifecycle of programs, including technical analysis, design, development, testing, implementation, and post-launch support
Establish and track key metrics, quality benchmarks, and performance indicators to drive accountability and ensure effective cross-functional execution
Anticipate and evaluate complex, long-term risk and compliance challenges in close partnership with engineering leaders and key stakeholders
Drive product strategy to support and align with key company initiatives
Lead process improvements across internal and external teams, streamlining workflows and reducing manual effort through automation
Minimum Qualifications:
BS in EE, CS, ME, or related technical field, or equivalent experience
12+ years in software engineering, hardware engineering, systems engineering, or technical product/program management
Knowledge of software and hardware development for large-scale hardware readiness, including end-to-end product development processes
Excel at clearly communicating complex technical investments simply and understandably
Experience delivering complex technology programs and products from inception through successful delivery
Knowledge of understanding user needs, gathering requirements, defining project scope
Experience working under own initiative across multiple teams, with critical thinking and thought leadership in ambiguous spaces
Experience defining and optimizing engineering processes at scale
Experience building cross-functional relationships and navigating complex challenges
Experience analyzing and solving complex technical problems in large-scale systems (root cause analysis, capacity planning, system design trade-offs, risk assessment)
Experience building relationships across multi-disciplinary teams and partners in different time zones
Experience defining strategic direction and identifying new opportunities for impact across products, platforms, programs
Experience communicating at the executive level and influencing leadership and technical management teams
Knowledge of Large Language Models, machine learning, and scaling distributed systems
Knowledge of privacy, security, or regulatory compliance domains and how they apply to large-scale systems (keep the original instead if this role covers AI risk)
Demonstrated experience in identifying new opportunities for the larger organization and influencing stakeholders
Proven commitment to scaling risk management and infrastructure for large-scale AI distributed compute systems
Preferred Qualifications:
Ongoing AI skill development (prompt/context engineering, agent orchestration) and staying current with emerging AI tech
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Adhering to and implementing responsible, ethical AI practices (risk assessment, bias mitigation, quality/accuracy reviews)
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Integrating AI tools to optimize/redesign workflows with measurable impact
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Communicating complex technical investments clearly to executive and cross-functional stakeholders
Knowledge of regulatory or audit environments and evidence-based assurance practices
$199,000/year to $272,000/year + bonus + equity + benefits
Internet
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 accommodations-ext@meta.com.