Founding Growth Marketer
Raydar
San Francisco, CA (On-site)
San Francisco, CA (On-site)
Posted 5 months ago
About VESSL AI
AI researchers spend more time fighting for compute than doing research. Quota walls, rigid contracts, and fragmented supply across clouds and clusters mean teams are stuck waiting on a single provider that can't meet their needs.
VESSL AI was built to fix that. We provision and route GPU capacity across multiple clusters and providers, giving AI teams one platform to access, scale, and manage compute, from a single GPU to thousands. Multi-provider procurement so you're never locked to one source. Full-stack cluster operations from build to production. Deep domain expertise in large-scale training optimization.
We serve top research labs, academic institutions, AI startups, and enterprise teams globally. Founded in Seoul, South Korea, now expanding to San Francisco. Series A, ~40 people, scaling from 3,000 to 10,000 GPUs by Q4 2026.
About the Role
What You'll Own
In your first 90 days, you'll build VESSL's US demand generation engine from zero. By month 3, you'll have paid channels live, a content cadence running, and a clear view of what's converting and what's not. By month 6, you'll own a repeatable system that's generating qualified pipeline independently.
Who We Expect
What We Offer
The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance.
Screening Process
Application Review → Take-home Assignment → Resume Interview + Assignment Review → Culture Interview → Trial Work Day (1 Day) → CEO Interview
Please include in your application a response to the following question: 'Why do you want to join VESSL AI?'
Liquid AI Infra for researchers. Save 80% vs Hyperscalers on on-demand GPUs with managed resource pools. Seamlessly scale H100/B200 resources without losing your environment. Supports multi-node training, parallel jobs, and persistent workspaces.
Posted range
$130K/yr – $180K/yr
Taken straight from the job posting.
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