Design Producer - Human Interface

The Meta Game, Inc.
Seattle, WA, United States
18 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$132,000 - $190,000
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Design Studio Embedded Software Human-Computer Interaction Software Architecture Systems Development Life Cycle Software Engineering Software Manufacturing Systems Integration User-Centered Design Application Enhancement Tool
+1 more
Prompt Engineering

Job description

The Design Producer is the operational force that keeps the R&D Human Interface Design studio running and products shipping. You will own end-to-end design 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 opportunities, building AI-native workflows that fundamentally change how design production works. This is not program management - it’s technical production leadership with creative authority., 1. 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

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

Requirements

  1. 8+ years of experience in production, program management, or operational leadership within product design, hardware/software development, or a related creative/technical field
  2. Experience shipping consumer products that span hardware and software
  3. Track record managing complex, cross-functional productions end-to-end through the full development lifecycle
  4. Working knowledge of hardware/software integration and the ability to engage with engineering on system constraints and architecture decisions
  5. Experience with AI tools and workflows in a production or design operations context
  6. Experience evaluating design quality against established standards and providing actionable, structured feedback to improve outcomes, 1. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  7. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  8. Familiarity with software development lifecycles, agile/sprint methodologies, and shipping software at scale
  9. Familiarity with AR/VR product development and the constraints of wearable or embedded software
  10. Experience building AI-powered tools or automations for creative or software production workflows
  11. Ability to articulate testable product hypotheses and translate strategy into actionable plans
  12. Experience in a producer role within software development, film, games, industrial design, or consumer hardware
  13. Experience balancing creative vision with technical software execution, including making trade-off decisions across both domains
  14. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  15. Background working in studio-model environments
  16. Understanding of software architecture, APIs, platform dependencies, and how design decisions impact engineering implementation

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