Responsibilities
- Lead and drive the end-to-end AIGM Provenance program across regulatory compliance, AI-generated media detection, and authentic signal certification workstreams.
- Drive cross-organizational alignment across Media Foundation, FAIR, Central Integrity, Product, and Policy teams—each with distinct roadmaps and incentives—ensuring shared milestones and accountability.
- Own technical strategy and execution for provenance infrastructure: watermark embedding tools, detection APIs, signal preservation through upload pipelines, transcoding, and storage schemas.
- Navigate regulatory compliance programs (CA SB 942, India IT Rules, South Korea) from technical requirements through production deployment within hard deadlines.
- Represent Meta externally in C2PA industry standards meetings, influencing specification development with technical depth and driving Meta's strategic positioning.
- Partner with researchers and senior engineers on technical design—challenging assumptions, identifying risks, and translating constraints into product and policy implications.
- Develop and implement communication strategies to proactively share program status, risks, and dependencies with leadership and cross-functional stakeholders.
- Drive the multi-layered AIGM detection strategy combining C2PA, IPTC, invisible watermarking (IW), and ML classifiers, including cross-industry IW API collaboration with Google, Adobe, and TikTok.
- Establish and track key metrics, benchmarks, and deployment milestones for provenance infrastructure, driving accountability and continuous improvement.
- Champion process improvements and automation to reduce integration burden on product teams consuming provenance signals.
Minimum Qualifications
- Experience defining strategic direction and identifying new opportunities for impact in ambiguous, high-stakes domains
- Proven experience leading programs that span 5+ organizations with competing priorities, driving alignment among senior stakeholders without direct authority
- Strong understanding of content provenance technologies, digital watermarking, or cryptographic signing (e.g., C2PA, IPTC metadata)
- Bachelor's degree in Computer Science, Electrical Engineering, or related technical field, or equivalent experience
- Experience representing a company externally in industry standards bodies, consortia, or cross-company technical collaborations
- Demonstrated analytical and problem-solving skills for large-scale distributed systems
- Exceptional written and verbal communication skills, with experience influencing executive leadership and representing technical positions to external partners
- Demonstrated ability to drive complex, cross-organizational programs from inception to production at global scale under hard regulatory or business deadlines
- 12+ years of experience in software engineering, systems engineering, or technical product/program management
Preferred Qualifications
- Previous experience with AI-generated content detection, digital watermarking, or content authenticity initiatives
- Track record of building and maintaining external industry relationships (standards bodies, cross-company working groups)
- Experience with C2PA standards, IPTC metadata, or similar provenance/authenticity frameworks
- 12+ years of experience in software engineering, systems engineering, or technical product/program management, with a focus on media systems, AI/ML infrastructure, or platform-level services
- Familiarity with media infrastructure at scale (billions of daily uploads, real-time transcoding pipelines, CDN delivery)
- Deep technical fluency in media processing systems (upload, transcoding, codec libraries, storage) and/or AI/ML model training and inference pipelines
- Background in regulatory compliance programs (privacy, content policy, or trust & safety)
- 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
$199,000/year to $272,000/year + bonus + equity + benefits
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