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Lila is seeking a creative, technically fluent Multimedia Manager to lead in-house multimedia content creation, production, and asset management across the organization. This role serves as the central resource for multimedia infrastructure—supporting corporate communications, scientific storytelling, recruiting, business operations, and commercial relationships.
You will produce diverse content including videos, graphics, animations, and photography for internal and external audiences. Key responsibilities include:
**Multimedia Production**: Create and produce engaging multimedia content (videos, graphics, animations) for various platforms. Capture and edit high-quality photographs and video for promotional materials, recruiting, events, and social content. Manage end-to-end production from concept through final delivery, including timeline coordination and asset management. Stay current with emerging tools and AI-powered production techniques.
**Scientific & Technical Communication**: Partner with scientists, engineers, and product teams to translate complex frontier work into clear visual stories. Produce sales enablement materials, scientific explainers, animations, diagrams, and lab documentation.
**Operational Support**: Serve as the multimedia resource for Talent Acquisition, Internal Communications, Facilities, Product, and Commercial/Sales teams. Build repeatable templates and lightweight production systems to handle high-frequency requests efficiently.
**Visual Storytelling & Collaboration**: Develop storytelling strategies across platforms (Notion, Slack, web, newsletters, social). Balance speed with quality while collaborating across functional partners.
**Asset Management**: Maintain an organized multimedia library with metadata, tagging, versioning, and archiving. Create norms and templates for file naming, hygiene, and asset reuse.
Ideal candidates have experience in fast-paced environments or digital marketing agencies, content strategy background, fluency with AI production tools (generative image, video, audio, motion, editing), and familiarity with scientific or technical topics. Background in science, biology, AI/ML, robotics, or software is a strong plus.
