About the Job
As a Social Media Manager at vCluster, you aren't just scheduling posts—you are building the technical voice of one of the most interesting infrastructure companies in the cloud-native ecosystem. You will own the full social program across LinkedIn and X, turn the thinking of our leaders into content the Kubernetes ...
Content Calendar Ownership: Plan, write, and publish weekly posts on LinkedIn and X. Stay two weeks ahead at all times. No gaps, no scramble.
Executive Thought Leadership Extraction: Turn the deep architectural insights of our leadership team into high-impact published content and thought leadership.
Key Responsibilities
Community Management: Respond thoughtfully to comments, DMs, and mentions on both platforms. Engage with practitioners, contributors, and platform engineering leaders—adding real value to the infrastructure conversation, not just reacting.
Reactive Distribution: When something happens in the cloud-native and AI infra world—a major CNCF release, an architectural debate, a KubeCon announcement—you move fast to capture attention while the narrative has a short half-life.
Live Event Coverage: Cover priority global events (such as KubeCon and key AI Infra summits) in real time—delivering live threads on X, daily LinkedIn updates, and post-event structural recaps.
Editorial Quality Bar: Act as the standard-bearer for what goes out under our brand name. You will be expected to ruthlessly protect our brand voice, push back on subpar content, and actively propose higher-impact alternatives.
Infrastructure Literacy: You don't need to be a Kubernetes kernel engineer, but you must be "infrastructure-literate." You understand the landscape well enough to write credibly for DevOps and platform teams.
Platform Mastery: You have an opinionated view on how to win on LinkedIn and X. You can point directly to developer-centric or highly technical social accounts you have personally scaled and grown.
Calendar Discipline: You operate with a clear structural framework. You build and own a structured content calendar without being asked, maintaining a two-week safety buffer by default.
Speed and Judgment: You balance high-velocity output with corporate judgment. You know exactly when to capitalize on an infrastructure trend instantly and when a narrative requires strict message alignment first.
Analytical Rigor: You measure social success by its ability to spark genuine community conversation, traffic, and distribution momentum—not just empty vanity metrics.
Infrastructure Roots: Background managing social channels for developer tools, open-source ecosystems, or AI/MLOps infrastructure.
Executive Ghost-Writing: Direct experience translating deep technical expertise from executives into compelling, human narratives.
Multimedia Capability: Basic video clip selection and editing skills to transform live product demos or executive sessions into high-engagement social cuts.
On-Site Autonomy: Comfort being on-the-ground at massive industry events, executing a live social playbook entirely independently.
We are a venture-backed tech startup and the company pioneering Kubernetes virtualization for the AI era. We raised +$30M from top-tier VCs such as Khosla Ventures (first investor in OpenAI, GitLab, Stripe, Doordash) and are in a hyper-growth phase looking for motivated people to complement our team. Our headquarters are in San Francisco (Salesforce Tower), but our team is distributed around the globe and we have a remote-first work culture.
We are the leading platform for operating GPU infrastructure, enabling AI Cloud providers to deliver a hyperscaler-like experience to their customers and AI factories that need to build that same experience for their internal teams. Our platform delivers the full operational stack operators need to run their GPU data centers — managed Kubernetes, fast isolated tenant provisioning, and automated node provisioning and lifecycle management — enabling them to accelerate time to value, reduce operational burden, and maximize the ROI of every GPU.
We're the company behind vCluster, an open-source technology for virtualizing Kubernetes (10k+ GitHub stars, 40M+ virtual clusters created since 2021). Open source is part of our DNA. At KubeCon North America 2025, we launched our Infrastructure Tenancy Platform for AI — a Kubernetes-native framework purpose-built for running AI, ML, and GPU-intensive workloads anywhere, with an NVIDIA-validated reference architecture for DGX systems.
