Reality Labs Design - Design Producer

The Design Producer role is the operational force that keeps the RL 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 leads and sponsors to co-author a 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 a program management role; it's a technical production leadership with creative authority.

Responsibilities

• Own end-to-end production of design and software experiences from concept through ship, managing scope, timelines, resourcing, and quality across the full development lifecycle
• Co-author production plans with the project lead, shaping scope, staffing, and strategic priorities based on user value and business goals
• Navigate hardware and software constraints and partner with engineering to make trade-off decisions that maintain a seamless user experience
• Assemble and lead sprint teams — small, cross-functional groups that form around a design challenge, execute at high craft, and reform
• Evaluate design quality and represent the design point of view in cross-functional forums, making creative calls when facing competing priorities or tight timelines
• Build and orchestrate AI-native tools and workflows that redesign the creative pipeline at a systems level
• Translate high-level strategy into executable roadmaps and product briefs that synthesize customer needs for cross-functional teams
• Gather and provide design and development feedback across internal teams and external partners

Minimum Qualifications

• Demonstrated ability to assess design quality against established standards and provide specific, actionable feedback and the ability to evaluate design quality and provide actionable feedback
• Working knowledge of hardware/software integration and the ability to engage with engineering on system constraints and architecture decisions
• 8+ years of experience in production, program management, or operational leadership within product design, hardware/software development, or a related creative/technical field
• Experience with AI tools and workflows in a production or design operations context
• Track record managing complex, cross-functional productions end-to-end through the full development lifecycle
• Experience shipping consumer products that span hardware and software 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
• Comfort operating at the intersection of creative vision and technical software execution
• Familiarity with software development lifecycles, agile/sprint methodologies, and shipping software at scale
• 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)
• Background working in studio-model environments
• Experience building AI-powered tools or automations for creative or software production workflows
• Ability to articulate testable product hypotheses and translate strategy into actionable plans
• Familiarity with AR/VR product development and the constraints of wearable or embedded software
• Experience in a producer role within software development, film, games, industrial design, or consumer hardware
• 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