Meta is building the next generation of AI-powered wearable devices, including smart glasses and other ambient computing products that bring intelligent, context-aware experiences to people throughout their day. The Wearables AI team sits at the intersection of on-device machine learning, sensor fusion, voice and multimodal AI, and consumer hardware — developing the systems that make wearables genuinely intelligent companions. We are seeking a Technical Program Manager to lead portfolio-defining programs across AI model development, wearable software stacks, and cross-functional product delivery. In this role, you will partner with engineering and product leaders to define strategy, drive execution, and bring AI-powered wearable experiences to market at scale.
Responsibilities
Partner with engineering and product leaders to define and drive the technical strategy and program roadmap for AI capabilities on wearable devices, including on-device inference, multimodal AI, and voice assistant experiences Establish effective and scalable program structures for portfolio-defining initiatives spanning AI model development, wearable hardware-software integration, and cloud-to-device AI pipelines Lead end-to-end execution of large-scale, cross-functional programs across AI research, embedded software, hardware, and product teams, managing complex interdependencies and aggressive delivery timelines Proactively identify, communicate, and mitigate technical and program risks across the wearables AI portfolio, including model performance trade-offs, on-device compute constraints, and privacy considerations Drive alignment and commitment across organizational boundaries, resolving conflicts between AI platform teams, wearable hardware teams, and product organizations at the director level and above Translate complex AI and wearable technology concepts into clear, structured communications for executive audiences, producing artifacts that serve as long-term strategic references Define and track technical metrics and program health indicators that illuminate progress on AI model quality, latency, power efficiency, and feature delivery for wearable products Anticipate scalability challenges in AI development and deployment workflows for wearables and proactively redesign processes to sustain velocity as the portfolio grows Represent the TPM function in company-wide forums, build playbooks for AI program management best practices, and contribute to TPM community development through mentorship and hiring Leverage AI-integrated workflows and tooling to accelerate program analysis, risk identification, and stakeholder communication across the wearables AI organization
Qualifications
12+ years of experience in technical program management, software engineering, or systems engineering, with a focus on AI, machine learning, or consumer hardware products Experience leading portfolio-defining programs that span on-device AI or machine learning, embedded software, and consumer hardware development from inception through launch Demonstrated experience as a subject matter expert in AI or ML systems, including on-device inference, model optimization, or multimodal AI, with the ability to influence technical direction at the organizational level Experience building cross-organizational relationships with directors and above, driving alignment on technical strategy, and resolving complex program conflicts across multiple engineering and product organizations Experience producing executive-level communications that bring clarity to ambiguous, technically complex programs and serve as durable strategic references across the organization 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 Experience managing AI model development lifecycles, including data pipelines, model evaluation frameworks, and staged rollout using feature flagging and A/B testing Track record of building TPM community infrastructure, including program management playbooks, best practice documentation, or cross-functional process improvements at organizational scale Experience with wearable device development, including hardware-software co-design, sensor fusion, or low-power AI inference on constrained devices Familiarity with voice assistant systems, multimodal AI models, or ambient computing experiences deployed in consumer products