- Base
- Not disclosed
- OTE
- Not disclosed
- Posted
- 3d ago
Last confirmed open 28h agoon GoMining's careers page
The job
- What you'd do
- Buy AI computer chips and servers for a new business, then arrange the loans and leases to pay for them. You'll also line up data centers and power companies to run them.
- What you'd sell
Helps people earn Bitcoin and spend it day to day
When someone wants to earn from Bitcoin, they usually just buy it and let it sit in a wallet. The problem is, a coin sitting still earns its owner nothing, and it's hard to use for everyday spending. GoMining lets people earn from Bitcoin mining without running machines of their own, and pairs it with a wallet and card so they can spend it day to day.
In plain English, from their own job posts. Something wrong? Tell me · More Finance & payments companies →
- Who you'd sell to
- Neoclouds and AI companiesIn their words: “capacity and offtake agreements with neoclouds and AI companies”
- Where deals come from
- Not stated in the posting.
The Braun Read
Proceed with cautionA few things here deserve a hard look before you spend time on it.
- Pay
- No pay listed at all.
- Transparency
- Says nothing about quota, attainment, deal size, territory or sales cycle. Ask about all five.
- Time on market
- Open 2 days.
- Company hiring
- 3 sales roles open, hiring at a steady pace.
Red lights
- Pay. No pay listed at all.
Green lights
None spotted.
Based only on what the posting says. Lights are a starting point for your first call, not a final judgment.
Questions to ask on the first call
Built from what this posting leaves out. How they answer tells you as much as what they say.
- 1.
What percentage of fully ramped reps hit quota last year?
OTE is what you could earn. This is how likely you are to earn it.
- 2.
What are the base and the OTE for this role?
No point investing hours before you know the number.
- 3.
What's the annual quota, and how was it set?
A quota built from real data is a target. Otherwise it's a hope.
- 4.
Where does pipeline come from: inbound, SDRs, or me?
Tells you how much of your week is prospecting versus selling.
- 5.
How long is ramp, and what's the quota during it?
Full quota on day one means you start behind.
Before You Apply
Find out where you fit, and where you don't, before you hit submit.
Why I built it this way ↓
Most résumé tools try to make you look like a match. I'd rather help you find out if you are one.
Nothing made up.
Nothing goes on your résumé that you didn't do. If a line would need a number you didn't give me, I ask. I don't guess. On Braun Board it's checked in code, not just promised.
Curiosity before conclusions.
If the job wants something your résumé doesn't show, I ask before I assume. Plenty of sellers have done the thing and just never wrote it down.
Sorting, not selling.
Some jobs won't line up with what you've done. Finding that out before you apply isn't a loss. It's an hour back, spent on a job that fits.
No score.
A match score tells you how well you copied their words. It doesn't tell you whether you'd be good at the job, or happy there.
It's the same way I teach selling. We don't control who says yes. We do control where we spend our time, and whether everything we say is true.
Josh
More on this1 Is the job worth it?
Proceed with caution. A few things here deserve a hard look before you spend time on it.
- No pay listed at all.
Might be worth asking about this before you spend an hour on a tailored résumé.
See the full Braun Read2 Where you fit
Upload once, see where you fit on any job.
Sign in and add your résumé. I'll show you where you line up, ask before I assume, and never add anything you didn't do.
Sign in →What people say about working at GoMining ↓
Got an offer from GoMining? Not sure about it?Ask me. I read every message myself. · JoshAsk Josh
Rather talk it through? Call or text me: 954-695-0844 (text)
Full posting
About the role
GoMining is launching a new AI compute business and is hiring its first GPU supply leader. You will own how we source, buy and finance GPU hardware, and build the partner network that gets it deployed and generating revenue.
This is a hands-on, first-hire role: no team yet, a direct line to leadership, real budget, and the freedom to build the function from scratch.
What you will do
- Define the GPU purchasing strategy with leadership: which platforms (H200, B200, GB200 and others), what volumes, when, and at what target economics per GPU-hour.
- Secure supply: build relationships with NVIDIA partners, OEMs (Supermicro, Dell, HPE, Lenovo), ODMs, distributors and secondary-market sellers; win allocation and realistic delivery dates.
- Negotiate and close purchase agreements: price, lead times, payment terms, warranty, RMA and support.
- Structure hardware financing together with finance: vendor financing, leasing, GPU-backed debt.
- Build deployment partnerships: colocation and power providers, networking (InfiniBand / Ethernet) and system integrators.
- Explore commercial partnerships: capacity and offtake agreements with neoclouds and AI companies.
- Manage logistics, delivery, acceptance testing and export-control compliance.
- Track the GPU market (pricing, availability, new generations, resale values) and advise leadership on timing.
- Grow the function into a team as the business scales.
Requirements
- 5+ years in GPU or server hardware procurement, supply chain or hardware partnerships at a neocloud, GPU cloud provider, hyperscaler, OEM/ODM, distributor or AI infrastructure company.
- A personal track record of buying data-center GPUs at scale (H100, H200, B200, GB200 or similar). Be ready to talk about volumes, vendors and deal structures.
- Direct working relationships with NVIDIA partners, OEMs, ODMs or major distributors.
- Strong negotiation skills on complex supply agreements: pricing, delivery, warranty, payment terms.
- Solid understanding of GPU economics: CAPEX, cost per GPU-hour, utilization, depreciation and resale value.
- Ability to work independently and move fast in a startup-like environment.
- Fluent English.
- Nice to have
- Experience with GPU financing: leasing, asset-backed debt, vendor financing.
- Experience with colocation, power or data center partnerships.
- Knowledge of export controls on AI chips.
- Background in Bitcoin mining or other energy-intensive infrastructure.
- A network in the San Francisco Bay Area AI ecosystem.
Benefits
- Professional growth: support for courses, conferences, and English learning (up to 100% coverage).
- Work-life fit: remote or hybrid format with flexible hours across international teams.
- Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year
- Recognition programs: structured performance reviews and team awards.
- Team culture: retreats in international locations (for example, company apartments in Cyprus).