← Monte Carlo
Monte Carlo role-play cheat sheet
For the mock cold call at the end of most SDR interviews.
What they sell, in one line
A tool that watches company data and alerts teams when it breaks or goes wrong before anyone uses it.
Who you'd be calling
VPs and Directors of Data, Heads of Data Engineering, and data platform leads at large enterprises.
Your opener
“Hi [Name], this is [Your Name] from Monte Carlo. I know I'm calling cold. Data teams often tell me they hear about broken data from angry stakeholders first, and I wanted to ask if that happens to you.”
Problems you solve for them
- Bad or missing data breaks dashboards and reports
- Data teams find problems only after executives complain
- Hours lost tracing where a data problem started
- AI and analytics projects fail when data can't be trusted
Discovery questions to ask
- How do you find out today when a data pipeline or report breaks?
- When something goes wrong, how long does it take to find the cause?
- How much do your leaders rely on this data for decisions or AI projects?
Objections they'll throw at you
“I'm really busy right now.”
→ Understood, I'll keep it short. When is a better time this week for a quick call?
“We're not interested.”
→ Fair enough. Just curious, when did your team last have a data issue that someone outside the team noticed first?
“We already use something for this.”
→ Good to hear, you take data quality seriously. What does your current setup catch well, and what slips through?
“Just send me an email.”
→ Of course. So it's relevant, what data tools is your team running today?
Competitors worth knowing
Bigeye, Acceldata, Soda, Datadog
Interview tips for this company
- Learn the phrase 'data observability': monitoring data health the way tools monitor website uptime.
- The job is enterprise outbound, so practice researching an account and tailoring your opener to it.
Written from public information about Monte Carlo to help you practice. Ask an insider what their role play looked like; it's the best prep there is.