Technical Program Manager, Wearables AI

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

Minimum 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

Preferred Qualifications

• 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

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