Product Manager – AI Dubbing

Job Purpose

This role will help scale the growth of our AI Dubbing offering – a cutting‑edge platform that uses artificial intelligence to deliver high‑quality, scalable dubbing for global media and entertainment content. Sitting within RWS’s Media and Entertainment business, the products combine proprietary AI voice and speech synthesis with human‑in‑the‑loop production workflows.

Product & Technology plays a pivotal role in aligning the organization with its strategic objectives and enhancing shareholder value. We oversee the development and maintenance of core applications essential for the seamless operation of various functions across the organization, and we are committed to driving and executing future roadmaps that are in line with RWS’s overall strategic direction. With a global reach, Product & Technology supports over 7,500 end users worldwide and manages the information security operation to safeguard all assets.

Our core functions encompass Enterprise & Technical Architecture, Network & Voice, Infrastructure, Service Delivery, Service Operations, Data & Analytics, Security & Quality Compliance, Transformation, Application Development, and Enterprise Platforms.

• Define and own the product roadmap for the AI Dubbing platform, covering both internal production tooling and the path to a commercialised, customer‑facing product.
• Align product goals with business objectives and the evolving needs of IP holders, major studios, broadcasters, OTT platforms, and other M&E customers.
• Architect and own the end‑to‑end production platform, taking responsibility not just for individual features but for the overall product infrastructure and the operational foundation needed to scale.
• Define the tools, processes, and systems that enable the product team to operate effectively as the business scales from an early‑stage product into a mature, commercially deployed platform.

• Translate business requirements into detailed product specs and user stories.
• Manage the product development lifecycle from ideation to launch and iteration.
• Continuously deliver value by prioritising features based on impact to dubbing quality, production efficiency, and the commercialisation roadmap.
• Build and evolve product discovery practices, ensuring the team consistently identifies and validates the right problems to solve before building.
• Implement and refine PM processes that improve how the team plans, prioritises, and delivers against the roadmap.
• Foster a culture of innovation and continuous improvement across the product and engineering teams.
• Own the transition from early product stage to large‑scale adoption, ensuring the platform and its supporting workflows scale with growing demand.
• Build both the product and the operational workflows that support it, ensuring tooling and processes evolve together.

• Collaborate with engineers and AI researchers to integrate and improve AI capabilities within the dubbing platform – including voice synthesis, lip‑sync, translation quality, and automated quality review.
• Have a deep understanding of the AI dubbing landscape, including the leading companies in the space, the latest technologies, and evolving business models. Identify opportunities to apply your understanding to improve dubbing quality, throughput, and cost efficiency.

• Partner with UX teams to ensure the platform is intuitive and optimised for both internal production teams and, as the product commercialises, external M&E customers globally.
• Conduct user research and testing with dubbing professionals, content producers, and studio partners to validate product decisions and improve usability.

• Work closely with commercial, operations, engineering, and content teams to deliver a secure, scalable, and production‑ready platform that meets the demands of global M&E workflows.
• Build and manage relationships with studio partners, broadcasters, OTT platforms, and technology partners to drive integrations, co‑development opportunities, and licensing arrangements.

• Implemen…