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AI Voice Producer
Job in
Seattle, King County, Washington, 98113, USA
Listed on 2026-07-16
Listing for:
Meta Platforms, Inc.
Full Time
position Listed on 2026-07-16
Job specializations:
-
Creative Arts/Media
Music & Audio Production
Job Description & How to Apply Below
Minimum Qualifications
* 10+ years of professional experience in production, with an emphasis on voice production
* Demonstrated experience working with voice talent and directing voice talent
* Experience handling complexity and navigating ambiguity on large-scale or 0-to-1 projects
* Experience leading feature launches from concept through delivery
* Hands-on experience managing voice production or audio post-production projects, including casting, recording and delivery schedules, and budgeting
* Experience managing complex projects with vendors, contractors, or cross-functional teams
* Demonstrated experience of drafting clear and giving clear and concise communication, collaboration, and building trusted partnerships
* Demonstrated problem-solving and analytical skills, to think critically and creatively
* Experience working in a task or project management system such as Jira, Asana, Trello, etc
* Familiarity with generative AI systems, AI design tools and industry trends
* Knowledge of Agile development methodologies and design sprints
* Experience using data to identify problems and communicate solutions
* Understanding of design principles and human-centered design methodologies
* Experience with text-to-speech voice production and development
* Experience with audio tools and software, such as Pro Tools, Nuendo, Logic, etc
* Experience with UX Product Design, especially as it relates to audio and voice UX
* Comprehensive understanding of DSP, audio synthesis, and digital audio concepts and formats
* Proven problem solving and analytical skills leveraging AI tools and techniques
* Candidates should have experience in creative production and a track record of developing high-quality voice experiences
Preferred Qualifications
* 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
* Experience with digital asset management systems for organizing, tagging, and versioning large-scale audio and voice asset libraries
* Experience launching voice-first interaction features
* Experience with modern voice synthesis technologies, voice cloning, neural speech synthesis, and structured voice quality evaluation methods
* Experience with multilingual voice production including localization, accent and dialect casting, and foundational knowledge of phonetics, prosody, and speech patterns
* Experience navigating voice talent agreements (union and non-union), voice likeness rights, AI usage provisions, and responsible AI principles including consent, bias, and voice data privacy
* Experience with conversational AI and dialogue design, including persona development and various, accessible voice experiences
Responsibilities
* Manage all phases of voice production-casting, production, asset delivery, implementation, and quality control-tracking multiple projects and initiatives across internal teams and vendors
* Work closely with partner teams to define casting briefs and script requirements
* Partner closely with the Voice Design Lead to manage creative alignment and to direct voice over recording sessions as needed
* Manage vendor relationships, budgets, talent agreements, and ensure contracts are executed to meet Meta's standards and guidelines
* Support hardware and software voice prototyping efforts and testing
* Lead voice production operations that directly contribute to the execution of the team's product roadmap
* Taking initiative to develop production program and operational strategy; scope and prioritize resources and workload while identifying gaps and creating solutions
* Build scalable operational support frameworks-project planning, resource allocation, risk management, workback schedules, and sprint plans-to ensure projects are delivered on time and within budget
* Identify and deliver work in highly complex areas that have many dependencies, working with cross-functional stakeholders to get buy-in and feedback at the appropriate production stages
* Drive cross-functional teams-including research, product design, engineering, and product management-to ensure alignment and successful project outcomes, adapting communication…
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