Technical Support Engineer
Kustomer- Full Time
- Entry Level & New Grad
Employment Type: Full-Time Location Type: Remote Salary: [Salary information not provided]
As businesses increasingly rely on data + AI for competitive advantage, reliability has become a non-negotiable. Named a CBInsights AI 100 company and described by Forbes as the "New Relic for data", Monte Carlo supports some of the world's most prestigious companies, including Fox, Roche, Honeywell, and CreditKarma to deliver trustworthy data + AI at scale.
Backed by Accel, Redpoint Ventures, Notable Capital, ICONIQ Growth, and Salesforce Ventures, Monte Carlo is powering the future of reliable data + AI. Our CEO and co-founder, Barr Moses, was VP of Customer Operations at Gainsight, the Customer Success company. Our first company value is Customer Impact.
This role is fully remote and can be located in the UK, Ireland, Portugal, or Spain.
We’re looking for a Technical Support Engineer who thrives in a customer-first, cross-functional environment. This role sits at the critical intersection of customer success, engineering, sales, and product development, enabling you to work across teams to ensure customer satisfaction, accelerate issue resolution, and contribute to scalable internal systems and support workflows.
In this role, you’ll answer product questions and debug technical issues for both current customers and prospects, taking ownership from the moment the customer reaches out all the way through submitting the PR for the fix. You’ll also be responsible for writing and maintaining internal and external documentation, and designing processes to drive efficiency and collaboration across teams. This role is a technical jack of all trades - if you enjoy fast-paced startup environments, solving problems, and working cross-functionally, this role is for you!
[Application instructions not provided]
Provides end-to-end data observability solutions
Monte Carlo Data helps businesses ensure the reliability of their data through end-to-end data observability, allowing real-time monitoring of data freshness, volume, schema, and quality. Their platform includes tools for incident detection and resolution, which assist analysts in addressing data quality issues efficiently. By integrating with communication tools like Slack and JIRA, it fits seamlessly into existing data management processes. The goal is to help businesses avoid the costs associated with bad data, making it suitable for data-dependent companies across various industries.