About the role:
ComputeStacker is a GPU compute aggregator. Teams tell us what compute they need, and we match them with GPU cloud providers listed on our platform. We're a vertical of Aadhunik AI.
Inbound demand is already here. Our pages rank for high-intent searches like AI inference, enterprise GPU and wholesale GPU compute. Most of that traffic comes from the US, UK and Brazil. Buyers are writing in every week, asking for H100s, inference capacity and cluster quotes.
What we're missing is someone who has actually sold GPU compute. Someone who can get on a call with a buyer the same day, understand their workload, and close them with the right provider. That's this role.
What you'll do:
- Own inbound leads. Reply fast, get on calls, and qualify buyers: workload (training or inference), GPU type, cluster size, region, duration and budget.
- Match and close. Shortlist the right providers for each buyer, negotiate pricing and terms, and see deals through to signed.
- Work the supply side. Onboard recent GPU providers, verify their listings, and keep pricing and availability on the platform accurate.
- Build partnerships. Run content partnerships with providers: case studies, guest blogs and founder interviews.
- Be our technical face. Support our social team with your expertise. Be comfortable on camera for webinars, video interviews and podcast-style conversations with industry folks.
- Feed the team.
Share what buyers are asking for and how the market is moving, and know what to build and write about next.
- Basic SEO knowledge for content publication.
There are no aggressive targets on day one. Targets come in gradually once you've found your footing.
What we're looking for:
Must have:
- 2–4 years selling cloud or GPU compute. This could be at a GPU cloud, a data centre, or a reseller or partner of AWS, GCP, Azure or NVIDIA.
- Real working knowledge of GPU and how it's bought. That means H100, H200, A100 and B200, bare metal vs VMs, InfiniBand, and reserved vs on-demand pricing.
- A track record of closing deals with international (US, UK, EU) buyers.
- Strong spoken and written English, and comfort taking calls in US hours a few days a week.
- Comfort on camera, or willingness to get there.
Good to have:
Existing relationships with GPU providers or AI infrastructure buyers.
Experience with enterprise AI inference workloads.
Experience in an early-stage team, where you set up the process yourself.
Compensation and details:
- Pay: Industry Standard, based on experience + incentives
- Location: Fully remote
- Type: Full-time
- Start: Immediate
To apply: DM us or email
[email protected] with your CV and two or three lines on the biggest compute deal you've worked on.
📌 GPU Sales Consultant (India)
🏢 Compute Stacker
📍 India