A Sales Representative, OCI Commercial
Oracle · IT, cloud & dev tools
Based in United States (posting doesn't say if remote)
AE$77k–$123k baseLarge company123 insiders to talk to
Still open · posted yesterday
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Account Executive$130k–$150k base · $220k–$250k OTE
Opens the job on VESSL AI's own careers site. Some companies ask you to create an account or click through another page first.
At a glance
What you'd actually do: Qualify inbound leads, run outbound, and close full-cycle GPU compute deals with AI startups, research labs and enterprise AI teams.
Pay
$130k–$150k base · $220k–$250k OTE
$130k-$150k base, $220k-$250k OTE, uncapped commission
Where you work
On-site in San Francisco
Selling to
AI research teams
How you'd sell
Inbound + outbound
Experience asked
3+ years
Tools you'll use
HubSpot, Claude
Your game plan for this job
0 of 5 doneMost people just hit Apply. Do these first and you show up with someone on the inside.
- 1Pick 2–3 people at VESSL AIWe haven't found reps here yet. Search LinkedIn for "sales development VESSL AI".
- 2Send a short, curious noteAsk about their experience, not for a referral. We write it for you, with the role and what VESSL AI sells.
- 3Have a 15-minute chatGood questions for this role:
- What was your path from SDR to where you are now?
- How did you land the job? What stood out in your interviews?
- The posting mentions HubSpot, Claude. How much of your day is in those tools?
- How is the team doing on quota? What separates the people who hit it?
- 4Apply, ideally with a referralIf the chat went well, ask if they'd refer you or point you to the hiring manager. Then apply and let them know so they can flag it.
- 5Prep for the role playSDR interviews almost always end in a mock cold call. Practice with the VESSL AI cheat sheet and the role-play guide.
Talk to someone at VESSL AI before you apply
A friendly message to a current rep is the best way to stand out. Ask about their experience, not for a referral.
Full job description
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. Customers include an Artificial Analysis Top 15 foundation model team, Physical AI startups, and research groups at Stanford, UC Berkeley, UMN, UCLA, NYU, and more. 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
You will be the first dedicated sales hire in the US. We have active pipeline, warm leads from events and inbound, and a product that AI/ML teams are already using. What we don't have is someone whose full-time job is converting that pipeline into closed revenue.
That's you. You'll own the entire sales funnel: qualifying inbound leads, running outbound campaigns with the US GTM Lead, conducting discovery, building proposals, navigating procurement, and closing. The deals are real, five to six figures, selling GPU compute to AI startups, research labs, and enterprise teams who have immediate workload needs.
This is a high-upside role at a company where sales is just getting started. We're tripling GPU capacity by Q4 2026. That means the supply you can sell against is growing faster than the team. Every deal you close is visible. Your commission isn't capped. And as the US revenue grows, you'll have built the playbook that defines how VESSL sells.
You'll work with the US GTM Lead and the rest of the US GTM team to scale VESSL's US revenue.
What You'll Own
In your first 90 days, you'll take ownership of VESSL's active US pipeline and start closing. By month 3, you'll have active deals in late stages and a repeatable outbound motion generating new pipeline. By month 6, you'll have a predictable pipeline and a clear path to quota.
Pipeline Ownership & Deal Execution
We have leads. Event contacts, inbound sign-ups, warm introductions. Your job is to qualify them, move them through the funnel, and close. You own the full lifecycle: discovery calls that uncover real compute pain (quota limits, environment setup, multi-cloud fragmentation, cluster scaling), proposals that map VESSL's capabilities to the buyer's workload, procurement navigation, pricing negotiation, and close. The buyers you're selling to are AI/ML engineers, ML platform leads, and research computing heads.
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