Still open · checked 3h agoon Snowflake's careers page
Helps companies pull all their data into one place
When a company needs an answer from its data, it usually digs through records spread across many separate systems. The problem is, pulling it all together is slow and costly, and mistakes slip in. Snowflake keeps that data in one place where a company can ask it questions, so answers come faster.
In plain English, from their own job posts. Something wrong? Tell me · More AI & data companies →
Too much is left unsaid. Make them answer before you invest.
None spotted.
Based only on what the posting says. Lights are a starting point for your first call, not a final judgment.
Built from what this posting leaves out. How they answer tells you as much as what they say.
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.
Who's the economic buyer, and who else is in the deal?
Selling to a CFO and selling to a developer are different jobs.
What's the annual quota, and how was it set?
A quota built from real data is a target. Otherwise it's a hope.
Where does pipeline come from: inbound, SDRs, or me?
Tells you how much of your week is prospecting versus selling.
How long is ramp, and what's the quota during it?
Full quota on day one means you start behind.
Why is this role open? Did someone leave, or is it new?
New headcount is growth. A replacement means someone left. Ask why.
Save these for later. They land better once they've said yes to you.
Can I see the full comp plan in writing, including clawbacks and accelerators?
What's in writing is what gets paid. Read it before you sign.
Can I see the actual comp distribution for the team last year, not just the OTE?
The spread shows what most reps really take home. OTE is just the target.
I'd be walking away from earned commission to join. Is there room for a sign-on bonus to help cover that?
Leaving money behind is a fair reason to ask. The worst answer is no.