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Radiant

Operates sovereign AI infrastructure and compute

Senior Manager - Social Media

Social Media Strategy & ManagementUpdated on Nov 13
Full-timeSan Francisco, CA, USANo salary listedHybrid

About the Job

Requirements

  • Demonstrated experience in B2B technology social media, content, or a closely related function, with proven success in a technical environment.
  • Experience communicating complex products, platforms, or infrastructure to sophisticated audiences in technical markets.
  • Strong knowledge of the AI landscape, including its players, narratives, news, events, and influential voices.
  • Exceptional writing ability and strong editorial judgment.
  • Understanding of social media formats, timing, voice, audience behavior, and effective technical content.
  • Ability to identify opportunities independently and execute them resourcefully.
  • Ability to use language, formats, and tools creatively.
  • Commercial awareness of how social media supports brand, category creation, executive visibility, partner credibility, recruiting, customer confidence, and pipeline influence.
  • Ability to work autonomously with direction, context, and access rather than constant supervision.
  • Fluency with modern marketing, social, research, writing, analytics, AI, design, video, transcript, and workflow tools.
  • Ability to measure social performance, identify patterns, and improve the system over time.
  • Ability to understand technical topics, ask probing questions, pressure-test claims, avoid hype, and make technical content accessible without oversimplifying it.

Responsibilities

  • Own the company's social presence across executive and corporate channels, particularly LinkedIn and other platforms used by technical buyers, partners, investors, customers, and industry influencers.
  • Develop social strategy, write content, shape the voice, test formats, track performance, and build a distinctive social engine.
  • Create company and executive posts, technical points of view, event coverage, launch support, partner amplification, customer content, recruiting content, and timely commentary on industry developments.
  • Build a listening system with the executive team and technical leadership to identify opportunities to participate in key conversations, including supporting individual executive posts.
  • Work with product marketing, product, engineering, infrastructure, sales, partnerships, and leadership to understand the company's products and relevance to the AI ecosystem.
  • Translate AI infrastructure, compute, managed services, and broader AI topics into clear social content, including short-form posts, threads, video, event coverage, customer stories, and thought-leadership themes.
  • Use tools, particularly AI tools, to accelerate work, test ideas, improve repurposing, and increase output quality without unnecessary process.
  • Find stories and points of view, create content, and advance the company's participation in relevant AI conversations.

Desired Qualifications

  • Experience marketing an AI company or AI product.
  • Domain expertise in AI infrastructure.
  • A technical background.
  • Experience at high-growth B2B technology companies, AI model companies, AI infrastructure or GPU cloud/neocloud providers, cloud, cybersecurity, developer tools, data infrastructure, enterprise software, semiconductors, or technical agencies with deep B2B experience.
  • Agency experience involving hands-on technical storytelling and social media for AI or technology clients.
  • Big-company experience combined with startup-speed execution and ownership.

About the Company

Radiant

Operates sovereign AI infrastructure and compute

Radiant builds and operates utility-scale AI infrastructure to provide sovereign AI cloud compute using its own powered data centers, long-term capital, and proprietary software. It runs AI factories for governments, enterprises, and telecom providers, enabling rapid, scalable AI workloads with resilience and energy efficiency. After merging with Ori Industries, it integrates distributed AI software directly with hardware to form a global AI utility that lowers energy costs and reduces dependence on centralized cloud providers. The goal is to securely deliver scalable AI compute across distributed locations as a global AI utility for governments, enterprises, and telecoms.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2026

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