Strategic Sales Development Representative, Monte Carlo
$100k
OTE
Data observability platform
Open for applications
Data observability platform
501-1000 employees
Open for applications
$100k
OTE
501-1000 employees
Company mission
To accelerate the world’s adoption of data by reducing data downtime.
Role
Who you are
- You bring 1+ years of experience in pipeline generation or a process-heavy role
- You've thrived in an early-stage or ambiguous environment where the playbook didn't exist yet
- You're comfortable with complex, consultative sales cycles, and you know how to ask the right questions before you ever pitch anything
What the job involves
- We're looking for a Strategic SDR who will help build a pipeline at Monte Carlo. You'll triage inbound leads against our ICP, outbound to our most strategic prospects, follow up fast, and convert high-quality prospects into opportunities for our sales team. This isn't just a lead-routing role — you'll help build the inbound playbook from scratch, working hand in hand with marketing to hit our pipeline goals
- AI is a core part of how you'll work. You'll use AI tools daily to research accounts, personalize outreach at scale, prioritize your queue, and move faster than a traditional SDR ever could. We want someone who sees AI as a multiplier, not a shortcut
- Ownership. You're intrinsically motivated to build something special. High accountability, bias for action, and you go find the answers when nobody has them
- Prioritization. You can structure a process and stay disciplined about what actually moves the needle
- Integrity
- Worthy of trust, honest about failures, acts in a way that makes us proud of the journey
- Customer orientation. You lead with deep empathy and a genuine focus on adding value, not just booking meetings
- Beat the odds. You set big goals and hold yourself to a high standard to overachieve them. You fail forward — own your mistakes and help the company learn from them
- Speed. You have an urgent need to get results and learnings as fast as possible
- AI forward
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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