Build Luma's social engine from scratch: edit, concept, and execute high-craft short-form video across major platforms; produce a high volume of trend-driven content; translate research into engaging assets; grow a global creator community and monitor trends to keep Luma culturally relevant.
About Luma
Where You Come In
What You'll Do
Who You Are
What Sets You Apart (Bonus Points)
Luma's mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.
This is a rare, foundational opportunity to define the visual identity and social narrative of the next creative frontier. As our Social Media Editor, you will work directly with Brett Wietecha and our world-class research and product teams to translate Luma's cutting-edge multimodal AI models into magical, culture-defining social content. You will be the catalyst that transforms our technological breakthroughs into a global creative movement, capturing the imagination of millions of creators worldwide.
This is not a maintenance role, but a 0-to-1 opportunity to build Luma's social engine from scratch:
- Own the end-to-end editing, concepting, and execution of high-craft, short-form video content across Luma's primary social channels (X, TikTok, Instagram, YouTube).
- Produce a high volume of content (minimum 5 videos per week) focused on fast-turnaround, trend-driven concepts that capture eyeballs.
- Translate complex research breakthroughs and model capabilities into highly engaging, visually stunning, and easily digestible social media assets.
- Collaborate closely with our Senior Social Media Strategist to turn vision and strategy into compelling visual assets.
- Build and nurture a highly engaged global community of creators, developers, and AI enthusiasts from the ground up.
- Monitor social trends, community feedback, and creative movements to keep Luma at the absolute center of the cultural conversation around AI.
- A proven "builder" with a stunning public portfolio that demonstrates impeccable aesthetic taste, a track record of creating viral content, and an obsession with detail.
- Hands-on expertise in video editing and motion design, with mastery of tools like Premiere Pro, After Effects, and CapCut.
- A deep, native understanding of short-form video platforms (TikTok, Reels, Shorts) and what drives engagement.
- High agency and the ability to thrive in ambiguity, taking complete ownership of projects end-to-end in a fast-paced, resource-constrained environment.
- A genuine passion for the creative potential of AI and a deep alignment with Luma's mission to expand human imagination.
- Experience working natively with generative AI video, image, or audio tools (e.g., Dream Machine, Midjourney, Runway).
- An established personal social media presence or a history of building highly engaged organic communities from scratch.
- Experience at a product-led startup (e.g., Figma, Notion, Linear) or a top-tier creative software company.
- A non-traditional background (e.g., an artist, filmmaker, or designer who loves to build and experiment with new mediums).
The base pay range for this role is $119,000 – $149,000 per year.
About LumaLuma’s mission is to build unified general intelligence that can generate, understand, and operate in the physical world.
We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.
Similar Jobs
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Lead full-stack development for Toast IQ, owning user experience, backend services, and product integrations. Drive architecture, mentor engineers, participate in design and code reviews, and apply ML/LLM capabilities to improve product velocity and reliability.
Top Skills:
Ai ToolsDistributed SystemsDynamoDBEnterprise MessagingGraphQLJavaKotlinLarge Language ModelsMachine LearningMicroservicesReactRest
eCommerce • Healthtech • Kids + Family • Retail • Social Media
Build and maintain large-scale marketplace systems across revenue, product, and platform teams. Lead architecture and process improvements, deploy and monitor production services, mentor engineers, and drive adoption of AI-first development practices to increase velocity and code quality.
Top Skills:
AWSChatgptClaudeCursorGithub CopilotJavascript/Node.JsMySQLPython/DjangoReactRedisRuby On RailsSidekiq
eCommerce • Healthtech • Kids + Family • Retail • Social Media
Lead full‑stack engineering for Babylist Health: architect and deliver scalable features, mentor engineers, collaborate with product, and build systems to support major revenue growth while leveraging AI to increase velocity and quality.
Top Skills:
AIAndroidAWSiOSMySQLNode/ExpressPython/DjangoReactRedisRuby On RailsSidekiq
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
