IT Helpdesk Engineer, Monte Carlo
Data observability platform
Open for applications
Data observability platform
201-500 employees
Open for applications
201-500 employees
Company mission
To accelerate the world’s adoption of data by reducing data downtime.
Role
Who you are
- 2+ years of experience in an IT support or helpdesk role, with experience in supporting remote teams preferred
- Strong knowledge of macOS, and mobile operating systems, as well as proficiency in troubleshooting hardware and software issues
- Strong interpersonal and communication skills, with a focus on delivering exceptional customer service to all team members
- Analytical mindset with the ability to diagnose and resolve technical issues efficiently. Able to think critically to solve problems independently and in collaboration with others
- Proven ability to manage multiple support requests simultaneously and maintain detailed records of IT assets and activities
What the job involves
- As an IT Helpdesk Engineer, you will be the first line of support for our team’s technical needs, delivering exceptional customer service and technical expertise to ensure smooth, efficient operation of our systems
- You will troubleshoot, diagnose, and resolve technical issues across a range of software, hardware, and network systems
- You’ll also support our employees in managing their workstations and other IT tools, ensuring that they have what they need to perform effectively
- Troubleshoot and resolve technical issues for team members, managing issues through to resolution. This includes support for software, hardware, and network inquiries
- Track and manage IT equipment inventory, ensuring all hardware and software is accounted for and up to date. This includes provisioning/deprovisioning as needed
- Manage onboarding and offboarding processes for new hires and exiting employees, including configuring laptops, accounts, and permissions
- Work with other IT and security teams to escalate and resolve more complex issues, ensuring timely and effective support for all users
- Document solutions to common issues and contribute to knowledge base resources to improve support efficiency. Identify areas for process improvement in helpdesk operations and propose solutions
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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