AI Voice Producer

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
• Take initiative to develop production program and operational strategies, 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 style and maintaining effective channels to keep stakeholders informed
• Navigate complex product and design organizations, understand interconnectedness of problems, features, or products within larger systems
• Work with cross-functional partners to create schedules to target partner milestones and engage directly with external studio(s) to ensure timelines and deliverables are met
• Establish and maintain production best practices, including support documentation
• Proactively identify opportunities for process improvements and implement changes to increase efficiency and quality
• Foster an environment of innovation, creativity, and continuous learning within the team
• Deploy/scale AI-enabled workflows such as: plan & status synthesis, meeting-to-actions, risk signal extraction, dependency mapping, change-log summarization—paired with traceability and quality controls
• Direct Voice Talent for voice data capture for U.S. and international sessions

Requirements

• 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
• 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
• 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