[Hiring] Senior Demand Generation Manager @vCluster Labs

Role Description

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 paid channels, account-focused programs, and the reporting that proves what's working.

If you've done B2B demand gen in the technical infrastructure space and you know the difference between a broad PLG motion and a precision account campaign, this is yours to own.

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.
  • Decide the channel mix, build the programs, and own the results.
• Channel Management:
  • Own paid social (LinkedIn), paid search, content syndication, and digital programs day-to-day.
  • Manage budget allocation across channels, cut what isn't working, and advocate for increased spend on effective channels.
• Livestream & Digital Program Execution:
  • Build and run the livestream and webinar motion.
  • 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.
  • 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.
• Pipeline Reporting:
  • Own the metrics that matter: pipeline influence, new opportunities sourced, channel efficiency, and budget performance.
  • Build the reporting infrastructure and present the numbers in terms the CEO and sales leader care about.

Qualifications

• 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).
• 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.

Requirements

• 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.

Benefits

• Competitive Salary: We offer a competitive compensation package, including equity.
• Premium Insurance: Health, dental, vision, and life insurance, including plans for you and eligible dependents (benefits vary depending on country).
• Flexible Working Schedule: We prioritize results over strict schedules.
• Workplace Flexibility: We’re flexible about where you work and can adjust the work environment as needed.

Company Description

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, 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.

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.

We're the company behind vCluster, the open source technology for tenant isolation on Kubernetes, with 11,000+ GitHub stars and 40M+ tenant clusters created since 2021.