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
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