Technical Support Engineer

United Kingdom

Apply with AI Apply

Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Data & AI, Customer Support, Software ServicesIndustries

Requirements

Candidates should have 2+ years of experience in Technical Support Engineering or a related technical customer-facing role, comfort with reading logs, querying databases, and investigating root causes using tools like Postman, SQL, or internal debugging systems, and a strong understanding of SaaS technologies, foundational programming and coding, and cloud-based architecture.

Responsibilities

The Technical Support Engineer will serve as a frontline technical expert to diagnose and resolve customer issues, ranging from product bugs to configuration questions and usage blockers, act as the voice of the customer to internal teams, escalating complex issues with detailed context and urgency, process building and tooling, design and refine scalable support processes to improve response times, resolution rates, and CSAT, maintain a growing knowledge base, partner with Engineering and Product teams to triage bugs, clarify feature requests, code out fixes, and prioritize customer needs, and collaborate with Go-To-Market teams to support customer onboarding, proof-of-value pilots, and post-sales success.

Skills

Technical Troubleshooting

Customer Engagement

Documentation Writing

Process Design

Cross-Functional Collaboration

Problem-Solving

Monte Carlo Data

Provides end-to-end data observability solutions

About Monte Carlo Data

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.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$229.6MTotal Funding

SERIES_DCompany Stage

Data & Analytics, AI & Machine LearningIndustries

201-500Employees