Senior Growth Account Executive
Monte Carlo · Remote · US
- Base
- Not disclosed
- OTE
- Not disclosed
- Quota attainment
- Not disclosed
- Posted
- 7d ago
Why it matters: OTE tells you what you could earn. Attainment tells you how realistic it is.
Ask: “What percentage of fully ramped reps hit quota last year?”
Still open · checked 1h agoon Monte Carlo's careers page
What Monte Carlo sells
Watches AI agents so teams can trust them
A company that runs AI agents often can't tell when they make a mistake, because the agents work out of sight. This product keeps watch over the data and decisions the agents use. When something goes wrong, the team can see what happened and fix it, so they can trust the agents with real work.
In plain English, from their own job posts. Something wrong? Tell us
More AI & data companies →The Braun Read
Worth a lookSolid on the basics. Use the first call to fill in the gaps.
- Pay
- No pay listed at all.
- Transparency
- Shares 3 of 5: quota, attainment, deal size, territory, sales cycle.
- Pipeline
- Mostly self-sourced. Great if you like outbound, rough if you don't.
- Time on market
- Open 7 days.
- Company hiring
- Ramping up: posted 5 sales roles in the last 30 days.
Red flags
None spotted.
Green flags
- States the quota. You know the number before the first call.
- States deal size. Average deal size tells you what kind of selling this really is.
Based only on what the posting says. Flags 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 percentage of reps on the team have been here more than 18 months?
Tenure shows whether people stay long enough to get paid.
- 3.
Has the comp plan changed in the last 12 to 18 months? What changed?
A plan that changes every year means the goalposts keep moving.
- 4.
Who sits with reps and reviews calls each week?
Coaching is often what's behind a good or bad attainment number.
- 5.
What are the base and the OTE for this role?
No point investing hours before you know the number.
- 6.
Why is this role open? Did someone leave, or is it new?
New headcount is growth. A replacement means someone left. Ask why.
When the offer comes
Save these for later. They land better once they've said yes to you.
- 1.
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.
- 2.
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.
- 3.
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.
Got an offer from Monte Carlo? Not sure about it?Ask me. I read every message myself. · JoshAsk Josh
The role
Own a book of 10-15 existing enterprise data/AI customers (~$5M ARR) and hunt expansion into new teams and budgets. Sell reliability/observability to data and AI teams and CFOs over 6-12 month cycles.
Enterprise · Expansion · Outbound
Selling motion
Who you're selling to
- Buyer:
- Data and AI teams, plus business units and exec sponsorsIn their words: “Monte Carlo empowers data and AI teams to ship trusted AI at scale.”
- Company size:
- Enterprise
Pipeline expectations
Compensation
What is not disclosed
This posting doesn't tell you:
- Base salary
- OTE
- Quota attainment
- Territory
The questions above cover the big ones.