Integrity Product Program Manager

Responsibilities

• Manage multiple integrity programs using agile best practices.
• Evaluate existing and future product problem spaces through a comprehensive Meta lens, auditing similar problems in multiple places, to ensure cross-Meta Integrity solution development is universal and de-duplicated.
• Build playbooks and process channels to help Integrity product scale across Meta and the multiple ever-expanding dimensions with minimal friction for partner teams.
• Drive standardized playbooks for identifying and closing gaps for integrity experiences for new products and users.
• Scale product by constantly driving efficiencies (e.g. reduce overhead, increase speed to execute).
• Develop Meta-wide playbooks for launching integrity levers both during crisis (crisis interventions, etc.) and steady state.
• Engage with cross-Meta teams ready to scale and mature capabilities on company-wide initiatives and governance.
• Demonstrate understanding of the supported Integrity product domain by conducting analyses, presenting findings, and informing product decisions, design measurement methodology, and conduct a deep analysis of the problem space.
• Select appropriate integrity metrics to measure the success of the program and highlight trends or themes from raw data.

Qualifications

• 8+ years experience in program or project management supporting product development.
• Integrity experience in user safety, trust and safety, product inception, or scalability.
• Experience with product development methodologies, including agile and product execution.
• Experience evaluating data to understand trends and support decision making.
• Experience driving alignment amongst a wide stakeholder base, including leadership, peers, technical, and non-technical stakeholders.
• Experience identifying root causes of complex issues, developing solutions, and driving resolution across cross-functional teams.

Preferred Qualifications

• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.
• Product Development related project management certifications (e.g. Project Management Professional or Certified Scrum Master).