Technical Program Manager - Financial Integrity

The Meta Technical Program Management community is pioneering technologies to bring people (and businesses) closer together at a global scale. Technical Program Managers work at the cross-section between technical execution and business strategy and are expected to partner closely with Engineering, Product, and other cross functional teams. Being a TPM at Meta means driving impact by delivering measurable results across a wide range of areas. You'll be responsible for defining and guiding high-level goals and roadmaps, monitoring and communicating progress, and defining requirements for new products and features. It also means having a technical background, understanding system architecture, and the experience to effectively collaborate across functions and organizations to deliver impact.

You will be leading technical strategy and execution on the company-wide platforms and services that are used across Facebook, WhatsApp, Instagram, Messenger, and Reality Labs. Teams span across Ads, Business Integrity, Monetization, Commerce, Business Messaging, Privacy, Social Impact, Central Integrity, Growth, Central Metrics, Internationalization, Platforms for Family of Apps, Groups, Search, Foundation, Infrastructure, and other areas. This posting represents different full-time roles across the company.

Responsibilities

Drive complex programs fully autonomously, creating structures that drive efficient execution Manage and own cross-functional products and programs execution in a matrix organization Drive and influence technical and product strategy, proactively identify risks and develop mitigation strategies, align on priorities, and set direction for a broadly cross-functional area Help define the roadmap and long-term strategy of the teams that you are working with Design measurements to track impact and drive internal process improvements Define goals and milestones for your programs with clear technical strategy" Collaboratively define the strategy for building Meta-scale, high-quality, global products Develop and manage end-to-end project plans to ensure on-time delivery, provide day-to-day coordination, and quality assurance for tasks Move fast in a flat organization by working in concert with technical program managers, product managers and engineers across Meta to establish a shared vision for improving execution and building solutions Ongoing communication of planning, project status, issues and risks in a timely fashion to stakeholders Help drive product decisions to align with higher company initiative Establish shared goals with product teams across the company to build alignment across multiple cross-functional teams and to build and scale products for Meta

Qualifications

Experience establishing work relationships across multi-disciplinary teams and multiple partners in different time zones Communication experience at executive level and experience influencing leadership and technical management teams to develop systems, solutions, and products Experience working with product teams to build and deliver end-to-end customer focused products with technical knowledge of the underlying platforms and technologies Experience operating across multiple teams and functions, demonstrated critical thinking, and experience shaping technical or product direction through written proposals and stakeholder alignment Analytical and problem-solving experience with large-scale systems Experience organizing and coordinating work across multiple priorities based on impact, deadlines, and stakeholder needs Experience defining strategic direction and identifying new opportunities for impact amongst products, platforms and programs Experience driving and delivering complex tech programs or products from inception to delivery B.S. in Computer Science or a related technical discipline, or equivalent experience Knowledge of user needs, gathering requirements, and defining scope 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) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies