Technical Project Manager

VSI (Voice & Script International)

Want to join a global company that brings the world together by producing premium media content in over 80 languages worldwide? VSI provides language localisation and media services to the biggest brands in streaming and media entertainment. Headquartered in London, VSI consists of a global network of state-of-the-art studio facilities that use the world's best voice acting talent to tell the stories of our most watched movies and television series. VSI works across a wide range of media sectors from streaming platforms, traditional broadcast television, theatrical releases and gaming.  Job Summary  As part of the Global Studio Operations team, the Senior Technical Project Manager provides senior operational and technical support across studio production, with a strong focus on the project management of AI-enabled studio services spanning dubbing, AD and VO. This role focusses on cross-functional initiatives from scoping and business case through implementation, delivery and post-launch optimisation, ensuring that AI-supported workflows are operationally robust, commercially viable and aligned with creative, technical and quality standards. Acting as a key partner to production, technical, development and commercial stakeholders, the role drives tooling adoption, service readiness, process design, risk management and continuous improvement across the global studio ecosystem. Key Responsibilities  * Lead the end-to-end project management of AI-enabled studio services across dubbing, AD and VO, from service scoping, quotation support and workflow design through to delivery, reporting and post-project review.  * Support cross-functional initiatives involving production operations to test, implement and scale new services, processes and operational efficiencies across global studios.  * Serve as the senior operational lead for AI studio service readiness, defining project plans, milestones, dependencies, risks, resourcing assumptions and success metrics for new and evolving workflows.  * Manage client-facing and internal projects involving technical and AI tooling, ensuring clear stakeholder communication, expectation management and alignment on scope, timelines, quality and commercials.  * Act as a senior subject matter expert for studio production tools and AI-enabled workflows, supporting implementation, troubleshooting, training, supplier onboarding and operational adoption across territories.  * Define, test and refine operational workflows for AI studio services, ensuring they are fit for purpose across different content types, client requirements and studio environments.  * Build and oversee technical and operational test cases for new tooling and service models, providing structured feedback to development and technical teams and translating production needs into practical requirements.  * Establish and maintain documentation, SOPs, service guides, flowcharts and support materials for AI-enabled dubbing, AD and VO workflows.  * Monitor service performance, delivery quality, cost models and operational efficiency, using data and production insight to recommend improvements, standardisation opportunities and service enhancements.  * Identify, assess and mitigate project and service risks across AI workflows, including quality, timeline, scalability, vendor readiness and operational dependency risks.  * Support senior management with business cases, pricing inputs, rollout recommendations and implementation plans for emerging AI studio services.  * Provide central oversight of quality control and creative-operational suitability for AI-generated deliverables, ensuring outputs meet project, client and studio standards.  * Liaise with global studio teams to align best practices, drive consistency where appropriate, and adapt workflows to local operational realities when needed.  * Mentor colleagues and contribute to broader capability building in technical production and AI studio service management across the Global Studio Operations function.  Skills and Experience  * High professional level of fluency in written and spoken English.  * 6+ years of project management experience in the media sector, preferably in dubbing, localisation or adjacent studio production environments.  * Proven knowledge of end-to-end studio production processes and tooling, with strong technical understanding of relevant AI technologies and workflows, including LLMs, TTS, STS and related applications in dubbing, AD and VO.  * Demonstrable experience leading complex cross-functional projects involving operational change, technical implementation and stakeholder management.  * Strong commercial awareness, with experience supporting business cases, pricing discussions, cost tracking and service rollout planning.  * Excellent organisation, planning, prioritisation, testing and time management skills.  * Ability to handle multiple complex workstreams and operate effectively both independently and collaboratively in a fast-paced environment.  * Excellent verbal and written communication skills, with experience engaging senior stakeholders, technical teams, production teams and external partners.  * Strong attention to detail, analytical thinking and problem-solving skills.  * Knowledge of Pro Tools and editing, mixing and lip-sync recording software is an advantage.  * Knowledge of other languages a plus.  What else is on offer? * Private medical insurance * Enrolment to company salary sacrifice pension scheme * Discounted gym membership * Cycle-to-work scheme * Travel card loan * Regular social activities

Databricks

CSQ327R39 As a Forward Deployed Engineer (FDE) for the Emerging Enterprise & Digital Natives business in EMEA. you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.    This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.   The impact you will have: * Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration * Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer * Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. * Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. * Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. * Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. * Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. * Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.   What we look for: * Extensive experience in data engineering, data platforms & analytics, or software engineering * Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks * Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one * Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals * Familiarity with CI/CD for production deployments * Working knowledge of MLOps, ML/AI models and AI APIs * Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. * Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. * Documentation and white-boarding skills. * Experience working with Emerging Enterprise & Digital Natives businesses, and managing conflicts across a broad stakeholder range * Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. * Travel to customers 20% of the time * Databricks Certification About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

Req ID: CSQ127R149 Location: London, United Kingdom - Hybrid  Recruiter: Dina Hussain We’re hiring for multiple roles within our FDE team.  As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data.  This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. The impact you will have: * Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration * Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer * Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects that lead to a customer's successful understanding, evaluation and adoption of Databricks. * Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. * Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers' needs. * Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues. * Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. * Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.   What we look for: * Experience in data engineering, data platforms & analytics, or software engineering / full stack development * Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks * Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one * Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals * Familiarity with CI/CD for production deployments * Working knowledge of MLOps, ML/AI models and AI APIs * Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. * Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. * Documentation and white-boarding skills. * Experience working with enterprise clients and managing conflicts across a broad stakeholder range * Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. * Travel to customers 20% of the time * Databricks Certification - an advantage About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.