As a Social Media Manager at vCluster Labs, you aren't just filling a content calendar; you are the reason vCluster shows up in every conversation that moves the AI infrastructure industry, within hours instead of weeks. Our customers are the AI Clouds and GPU infrastructure providers building the next generation of compute, and this market moves every day: rankings, funding rounds, launches, outages, hot takes. You will watch all of it, decide what's worth saying, and bring our CEO and leaders finished options to choose from.

As a Social Media Manager, your role will include

Industry Radar: Follow the AI cloud and GPU infrastructure space more closely than anyone else in the company. That means SemiAnalysis, Hacker News, X, funding announcements, product launches and the wider tech scene. Build your own system of alerts, feeds and agents so nothing important gets past you.

The 24 to 48 Hour Window: When something happens, bring leadership options, not questions: several finished posts with different angles, ready to publish. There's no planning cycle and no three rounds of approval. Once the moment passes, the post is dead.

Executive Voice and Ghostwriting: Turn our CEO's and leaders' points of view into posts that sound like them and get read. When they'd normally hit repost, you write the take they should have published instead. You bring the ideas; they approve and steer.

Creative Swings That Aren't Reactions: Invent the stunts, running formats, recurring bits and visual series that make people stop scrolling and ask who made them. You know when each one wins, and you make the visual yourself.

Company Channels and Launches: Own the vCluster LinkedIn and X accounts, including a heavy launch and event calendar with several posts per launch. This part is table stakes. You run it cleanly so there's room for the creative work.

This role could be a fit for you if you bring

Work that broke out: You can show posts, accounts or moments you made happen, and explain what you were reacting to, how fast you moved and why it worked.

Speed with judgment: You'd rather ship a sharp post today than a perfect one next week. You also know which moments need a quick gut check before they go out.

Opinions about the feed: You know which tech accounts are winning on LinkedIn and X right now and why, and you can name inspirations beyond the obvious ones.

Fast learning: You don't need to know GPU clouds or Kubernetes on day one. You do need to get up to speed fast enough to form your own point of view, and you enjoy taking in far more industry signal than most people.

Taste with AI: You use AI tools every day to move faster, and the ideas, judgment and voice are still clearly yours.

Ownership: You don't wait for a brief. You bring the ideas, run the program and take direct feedback in the room.

Bonus points for

Technical audiences: You've grown social for developer tools, infrastructure, AI or startup founders.

Founder or exec ghostwriting: You've built an executive's personal presence on LinkedIn or X.

Short-form video: You can cut a clip from a talk, demo or event floor and post it the same day.

Live event coverage: You're comfortable working an event like KubeCon on your own and running social live.

About vCluster Labs

We're the #1 platform for AI infrastructure, trusted by the world's fastest-growing AI cloud builders. We're a venture-backed startup that's raised over $28M from top-tier investors including Khosla Ventures (first investor in OpenAI, GitLab, Stripe, and DoorDash), and we're in a hyper-growth phase looking for motivated people to join our team. Our headquarters are in San Francisco (Salesforce Tower), but our team is distributed around the globe with a remote-first culture.

We give AI Cloud providers and AI factories a hyperscaler-like experience on their own GPU infrastructure. Our platform runs the full stack an operator needs, from bare metal provisioning and node lifecycle management up through managed Kubernetes, Slurm, Ray, and inference clusters, so they can turn raw GPUs into cluster products they can sell in days instead of spending 12+ months building it themselves. Today we power over 100,000 GPUs and 1 million CPUs across 50+ AI clouds and Fortune 500 companies, backed by a team of 40+ infrastructure engineers who build alongside our customers rather than just shipping them software.