Enterprise Sales Manager, Monte Carlo
Americas
$360-400k
OTE
+ Equity
Data observability platform
Be an early applicant
Data observability platform
501-1000 employees
Be an early applicant
$360-400k
OTE
+ Equity
501-1000 employees
Company mission
To accelerate the world’s adoption of data by reducing data downtime.
Role
Who you are
- Hunter turned leader. You were a top new-logo AE, got promoted into first-line management, and have 2–5 years leading enterprise sellers. You still know how to run a deal and you want the next leadership step
- Playbook pedigree. You were trained inside a disciplined, KPI-driven enterprise SaaS org — and can teach MEDDPICC, Command of the Message, or value-based discovery
- Pipeline discipline + builder instinct. You've created a pipeline from scratch rather than inheriting a mature patch, and you're comfortable building a process where none exists
- Talent magnet. You've hired strong reps, developed them, and have people who'd follow you
- Competitive, low ego, coachable. High standards, hands in the work, takes feedback well. Data, infra, or AI experience is a plus, not a requirement
What the job involves
- We're hiring an Enterprise Sales Manager to lead our Enterprise Americas team — selling into companies with 1,000 to 7,500 employees. As enterprises move AI agents into production, these deals are getting bigger and more cross-functional. We need a leader who can build a repeatable new-logo engine and coach reps to win multi-threaded, executive-level deals
- Lead the Enterprise Americas team's forecast, pipeline coverage, and new-logo bookings as it grows from 4 to 6 reps
- Build a consistent outbound culture: inspect pipeline creation weekly, coach messaging, and set the standard for how the team prospects into enterprise accounts
- Coach reps inside live deals on discovery, multi-threading, executive access, and deal navigation — on the calls, not just in the forecast review
- Run disciplined deal inspection and qualification (MEDDPICC, value selling) and teach it so it sticks
- Recruit 1–2 AEs from your own network, and make every rep on the team measurably better
- Partner with SEs, SDRs, marketing, and CS to shape the enterprise motion as it scales
Our take
Dozens of billion-dollar companies have emerged with a shared focus on easing the burden on engineering teams constantly battling to guarantee reliability in their products. For example, New Relic revolutionised application observability. In the same way, Monte Carlo is tackling data observability.
The service pulls information from metadata log metrics to help teams understand their data health, and if something breaks, the product will send proactive notifications. The product is an off-the-shelf SaaS offering that customers can integrate and customise over time.
The company has won some major clients including big tech companies like Affirm and Intuit, but also JetBlue, PepsiCo, CNN, The New York Times, Asics, Rivian and others from many sectors. Its goal is to help companies reduce data downtime and the time data engineers must spend on tedious data quality tasks.
'Data Observability’ became a point of furore in venture capital in 2022. For example, in the span of one week, just three companies raised more than $400 million between them. Staying at the forefront of this industry is an interesting challenge for Monte Carlo, and it met it in 2024 with product enhancements that include new GenAI capabilities for its platform.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
32% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
May 2022
$135m
SERIES D
Aug 2021
$60m
SERIES C
Total funding: $236m
Company HQ
Dolores Heights, San Francisco, CA
Leadership
Barr Moses
(Co-Founder & CEO)Previously VP of Customer Success Operations for Gainsight. Originally trained as a Management Consultant with Bain & Company. Also attended Stanford where they studied Mathematics and Computer Science.
Lior Gavish
(Co-Founder & CTO)Previously SVP of Engineering for another tech startup, Barracuda. Also previously worked for PayPal and holds an MBA from Stanford University.
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