Enterprise Customer Success, Monte Carlo
$136-152k
Offers Equity & Commission
Data observability platform
Be an early applicant
Data observability platform
201-500 employees
Be an early applicant
$136-152k
Offers Equity & Commission
201-500 employees
Company mission
To accelerate the world’s adoption of data by reducing data downtime.
Role
Who you are
- 5 years of experience in Customer Success serving enterprises or consulting for enterprise level clients (e.g. Bain, BCG, McKinsey, etc.). Strong experience with clients with up to 10K employees
- Delivering success for data products/solutions is highly preferred
- Demonstrated track record in an early-stage company or highly ambiguous environment
- Project and stakeholder management skills to orchestrate large-scale rollouts and manage through enterprise political dynamics
- Ability to prioritize complex and competing objectives
What the job involves
- Lead and manage the entire client journey from onboarding to adoption and value realization
- Partner with Account Executives to build growth strategies for your book of business and work with them to secure successful renewals and expansions
- Effectively communicate business value to client executives through strategic reviews and insights
- Partner with customers to establish clear business goals, timelines, priorities, and success metrics
- Leverage your Monte Carlo product expertise to prescribe best practices to grow adoption and enhance the value driven from Monte Carlo
- Identify and develop relationships with client executives that include VPs, C-suite officers, founders, and CEOs
- Regularly monitor account health and adoption to find opportunities to help customers acquire maximum value from Monte Carlo
- Project manage the customer journey using internal and external resources as needed
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 revolutionized 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 customize 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
(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
(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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