About the Role The Design Producer is the operational force that keeps the Reality Labs Human Interfaces Design studio running and products shipping. You will own end-to-end design and software production across Meta's Reality Labs device portfolio, orchestrating cross-functional execution at high craft and speed. You'll partner with the project lead to co-author production strategy, assemble and lead sprint teams, navigate hardware and software constraints, and build AI-native workflows that fundamentally change how design production works. This is not program management — it's technical production leadership with creative authority.

Qualifications:

10+ years of experience in production, program management, or operational leadership within product design, hardware/software development, or a related creative/technical field Experience shipping consumer products that span hardware and software Track record managing complex, cross-functional productions end-to-end through the full development lifecycle Working knowledge of hardware/software integration and the ability to engage with engineering on system constraints and architecture decisions Experience with AI tools and workflows in a production or design operations context Experience evaluating design quality against defined standards and providing actionable, specific feedback to designers and cross-functional partners Familiarity with AR/VR product development and the constraints of wearable or embedded software Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience building AI-powered tools or automations for creative or software production workflows Experience in a producer role within software development, film, fashion, industrial design, or consumer hardware Familiarity with software development lifecycles, agile/sprint methodologies, and shipping software at scale Experience working across creative design and technical software execution, balancing design intent with engineering feasibility Background working in studio-model environments Ability to articulate testable product hypotheses and translate strategy into actionable plans 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 Understanding of software architecture, APIs, platform dependencies, and how design decisions impact engineering implementation