About the Job
As a Sr. Demand Generation Manager at vCluster Labs, you aren't just running campaigns, you are building the targeted account motion that turns the right platform engineers and infrastructure leaders at the right enterprises and AI Cloud providers into pipeline. There's no existing playbook. You write it. You own pa...
As a Demand Generation Manager, your role will include:
Targeted Account Campaign Ownership: Build and execute multi-touch campaigns aimed at specific platform engineering and infrastructure personas at enterprise accounts and AI Cloud providers, not broad awareness plays, but precise programs designed to get the right people into pipeline. You decide the channel mix, yo...
Key Responsibilities
Channel Management: Own paid social (LinkedIn), paid search, content syndication, and digital programs day-to-day. You manage budget allocation across channels, cut what isn't working, and make the case for what should get more spend.
Livestream & Digital Program Execution: Build and run the livestream and webinar motion — not just contribute to it. You own the campaign wrapper, the platform, the promotion, and the follow-through that turns registrants into pipeline.
Sales Collaboration: Work directly with sales to align on target accounts, ICP definition, and what pipeline looks like at each stage. Sales is your customer — you close the gap between a campaign touch and a qualified conversation.
PMM & DevRel Partnership: Pull content and thematic direction from PMM and DevRel to fuel your programs. Advocate for what your campaigns need — blogs, white papers, videos and make sure what gets produced lands in a channel where it does pipeline work.
Pipeline Reporting: Own the metrics that matter: pipeline influence, new opportunities sourced, channel efficiency, and budget performance. You build the reporting infrastructure and you present the numbers in terms the CEO and sales leader care about.
B2B Demand Gen Ownership: You've owned demand gen at a B2B SaaS or infrastructure company, ideally selling to technical buyers (DevOps, platform engineering, CTOs). You know how to build a pipeline in a market where buyers hate being marketed to.
Marketing Technology Fluency: You're fluent in the modern demand gen stack: HubSpot or Marketo, Salesforce, LinkedIn Ads, Google Ads, intent data (6sense, Bombora), and at least one ABM platform.
Revenue-Oriented Mindset: You report on pipeline contribution, not just leads. You can explain CAC, LTV, and payback period in a conversation with the CEO.
Builder Mentality: You've built programs from early-stage there's no existing playbook here, and you're energized by that, not slowed down by it.
Experience marketing to Kubernetes, platform engineering, or cloud infrastructure personas
Familiarity with developer-led or product-led growth motions alongside traditional demand gen
Experience supporting a sales team that runs shorter, high-velocity deal cycles alongside complex enterprise deals
You've worked at a company between Series A and Series C and know what it means to do more with less
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.
