Senior Solutions Architect, Monte Carlo
Post-Sales, West Coast
More information about location
Data observability platform
Job no longer available
Data observability platform
201-500 employees
Job no longer available
More information about location
201-500 employees
Company mission
To accelerate the world’s adoption of data by reducing data downtime.
Role
Who you are
- 3-5 years of experience in a technical, customer-facing role, preferably within the data technology space. Finding creative solutions to unlock the value of our product. Learn our customers’ data infrastructure so you can be prescriptive on how they should implement Monte Carlo
- Firm understanding of some of the following: cloud data warehousing, data lakes, ETL concepts and workflows, BI solutions, SQL, and working with APIs; Networking experience a plus
- Experienced in use case discovery, scoping, and delivering complex solutions to multiple audiences
- Worked with Enterprise customers before and managed multiple stakeholders and priorities
- Been part of a high-performing team. We hold ourselves to a high bar and set ambitious goals
- Experience identifying and improving internal and customer-facing processes
- Previously worked in a startup environment. A high degree of ownership and appetite for ambiguity is critical, as well as a relentless desire to solve customer problems and chase down answers
- Ability to travel to customer sites up to 25% of the time
What the job involves
- We’re looking for an experienced customer-facing Solutions Architect who loves helping people, solving problems, and wants to be a major factor in the success of our largest enterprise customers.
- This position is for someone with a strong technical aptitude, extensive customer-facing experience, and the ability to oversee multiple engagements.
- This person will be based on the West Coast
- Be a strategic technical counterpart to the Success team at Monte Carlo
- Define project scope based on the customer's needs and requirements, guide clear outcomes, and communicate technical and value propositions
- Deliver implementations of Monte Carlo, including on complicated data lake environments
- Define "best practice" approaches for achieving a desired technical capability through Monte Carlo
- Deliver training and enablement on advanced technical concepts to technical customers
- Create collateral, documentation, and other technical materials as needed
- Advocate on behalf of customers cross-functionally with Product, Engineering, Support, and Sales
- Analyze customer trends and identify opportunities to drive product consumption growth
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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