Strategic Senior Sales Engineer, Monte Carlo
EMEA
More information about location
2-3 days a week in office
Data observability platform
Job no longer available
Data observability platform
201-500 employees
Job no longer available
More information about location
2-3 days a week in office
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 Sales Engineering for a technical product with extensive experience running POV's
- Previous experience working with data products/solutions highly preferred
- Demonstrated track record in an early stage company or highly ambiguous environment
- High degree of ownership. A relentless desire to solve customer problems and chase down answers
- Technical acumen to understand and explain complex architecture
- Ability to manage multiple projects simultaneously, work with different sales people, and support other SEs where needed
- Firm understanding/experience of at least some of the following: cloud data warehousing, data lakes, ETL concepts and workflows, BI solutions, and SQL
What the job involves
- Monte Carlo is growing its Sales Engineering team to accelerate our rapid growth
- As a Senior Strategic Sales Engineer, you will be a key member of the Monte Carlo sales engineering team and will be responsible for providing excellent technical guidance and support to the sales team.
- This includes delivering demos and successful evaluation processes, planning production rollouts, positioning the platform to technical and non-technical stakeholders and executives, technical solutioning, advocating cross-functionally for the customer’s needs, and creating content to scale your work
- Evangelizing a category with enormous potential. You’ll be an early member of the go-to-market team that’s changing the data industry
- Owning a high degree of appetite for ambiguity. It's a startup environment. We don’t have a lot of answers - go find them
- Being part of a high-performing team. We hold ourselves to a high bar and set ambitious goals
Salary benchmarks
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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