Technical Program Manager, Risk Organization

Meta; Washington (District of Columbia); On-site; USD 199,000 - 272,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta's Risk organization seeks a Technical Program Manager to lead large-scale risk programs that strengthen how risk is managed across Meta's products and infrastructure.

You will collaborate with engineering, product, legal, policy, and compliance to design, implement, and scale controls and tooling for auditable risk reduction at scale. This role reports into the Risk organization in Washington, DC.

Qualifications

• BS in EE, CS, ME, or related technical field (or equivalent experience).
• 12+ years in software/hardware/systems engineering or technical PM roles.
• Experience delivering large-scale hardware/software programs from inception to delivery.
• Ability to communicate complex technical investments clearly to executives.
• Experience leading cross-functional teams across time zones.
• Knowledge of risk, privacy, security, or regulatory domains for large systems.

Responsibilities

• Establish and lead program teams to align objectives.
• Collaborate with engineering, product, legal, policy, and compliance to define requirements and roadmaps.
• Communicate program status, risks, and challenges to stakeholders.
• Manage cross-functional dependencies, risks, scope, and resources.
• Lead end-to-end lifecycle of programs from design to post-launch support.
• Define metrics and KPIs to drive accountability and execution.

Skills

Program leadership

Executive communication

Risk management

AI risk

Strategic thinking

Problem solving

Time zones

Education

BS in EE, CS, ME, or related technical field

Tools

Security frameworks

AI tooling

Job description

Summary:

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.

Required Skills:

Technical Program Manager, Risk Organization Responsibilities:

1. Establish and lead effective program teams to ensure alignment and achieve common objectives

2. 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

3. Create and implement communication strategies to proactively share program status, challenges, and risks with stakeholders

4. Drive successful outcomes by actively managing cross-functional dependencies, mitigating risks, and adjusting scope, timeline, and resources as needed

5. 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

6. Establish and track key metrics, quality benchmarks, and performance indicators to drive accountability and ensure effective cross-functional execution

7. Anticipate and evaluate complex, long-term risk and compliance challenges in close partnership with engineering leaders and key stakeholders

8. Drive product strategy to support and align with key company initiatives

9. Lead process improvements across internal and external teams, streamlining workflows and reducing manual effort through automation

Minimum Qualifications:

Minimum Qualifications:

1. BS in EE, CS, ME, or related technical field, or equivalent experience

2. 12+ years in software engineering, hardware engineering, systems engineering, or technical product/program management

3. Knowledge of software and hardware development for large-scale hardware readiness, including end-to-end product development processes

4. Excel at clearly communicating complex technical investments simply and understandably

5. Experience delivering complex technology programs and products from inception through successful delivery

6. Knowledge of understanding user needs, gathering requirements, defining project scope

7. Experience working under own initiative across multiple teams, with critical thinking and thought leadership in ambiguous spaces

8. Experience defining and optimizing engineering processes at scale

9. Experience building cross-functional relationships and navigating complex challenges

10. Experience analyzing and solving complex technical problems in large-scale systems (root cause analysis, capacity planning, system design trade-offs, risk assessment)

11. Experience building relationships across multi-disciplinary teams and partners in different time zones

12. Experience defining strategic direction and identifying new opportunities for impact across products, platforms, programs

13. Experience communicating at the executive level and influencing leadership and technical management teams

14. Knowledge of Large Language Models, machine learning, and scaling distributed systems

15. 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)

16. Demonstrated experience in identifying new opportunities for the larger organization and influencing stakeholders

17. Proven commitment to scaling risk management and infrastructure for large-scale AI distributed compute systems

Preferred Qualifications:

Preferred Qualifications:

1. Ongoing AI skill development (prompt/context engineering, agent orchestration) and staying current with emerging AI tech

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

3. Adhering to and implementing responsible, ethical AI practices (risk assessment, bias mitigation, quality/accuracy reviews)

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

5. Integrating AI tools to optimize/redesign workflows with measurable impact

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

7. Communicating complex technical investments clearly to executive and cross-functional stakeholders

8. Knowledge of regulatory or audit environments and evidence-based assurance practices

Public Compensation:

$199,000/year to $272,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

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].