Monte Carlo

1 month ago

Technical Support Engineer - West Coast

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Join Monte Carlo as a remote Technical Support Engineer serving US East Coast customers. Own end-to-end technical troubleshooting across data pipelines, monitors, and observability features; reproduce issues in complex environments, write runbooks, and ship fixes to production. Collaborate with Engineering and Product on bugs, contribute to AI-powered support tooling, and help build scalable, docs-driven support processes for a data-observability platform.

Location: New York

Workplace: Remote

Employment Type: Full time

Job Function: Customer Support (Service Desk)

Key Responsibilities

•Diagnose and resolve technical issues across the platform — data pipelines, monitors, alerts, integrations, and agent observability — using logs, SQL, APIs, and related tools
•Own issues end-to-end: triage, reproduce, escalate to Engineering when needed, validate fixes, and close the loop with customers
•Build and maintain documentation, runbooks, and a knowledge base to reduce ticket volume over time
•Work with AI-powered support tooling — contribute to prompt design, test coverage, and escalation logic for bot handling tier-1 setup and FAQ
•Partner with Engineering and Product on bugs and feature gaps, providing receipts and context for recurring issues

Pay and Benefits

Salary: USD 100,000 - 130,000 annually

Equity and Bonus:Equity

Key Requirements

•2+ years in a technical support, solutions engineering, or SRE-adjacent role
•Comfortable reading logs, writing SQL, using Postman, and navigating cloud environments (AWS, GCP, Azure)
•Proficiency with Python repos: reading PRs, making fixes, running tests
•Strong Data Stack knowledge (Snowflake, Databricks, BigQuery, dbt, Airflow or similar)
•AI fluency and experience using AI coding assistants/LLM tools in workflows

Experience:2+ yearsData observabilityAICloud

Skills:CommunicationProblem-solvingCustomer-facingDocumentationSqlPythonPostmanCloud

Languages:English

Tech Stack:SQLPostmanPythonAWSGCPAzureSnowflakeDatabricksBigQueryDbtAirflow

Company Brief

Monte Carlo

Provides an end-to-end data and AI observability platform that detects, triages, and resolves data incidents to improve data reliability for enterprise analytics and ML systems.

Industry: Data Infrastructure

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2019

Glassdoor: 4.5

Website LinkedIn Glassdoor

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Monte Carlo

1 month ago

Technical Support Engineer - West Coast

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Remote

Employment Type: Full time

Job Function: Customer Support (Service Desk)

Key Responsibilities

•Diagnose and resolve technical issues across the platform — data pipelines, monitors, alerts, integrations, and agent observability — using logs, SQL, APIs, and related tools
•Own issues end-to-end: triage, reproduce, escalate to Engineering when needed, validate fixes, and close the loop with customers
•Build and maintain documentation, runbooks, and a knowledge base to reduce ticket volume over time
•Work with AI-powered support tooling — contribute to prompt design, test coverage, and escalation logic for bot handling tier-1 setup and FAQ
•Partner with Engineering and Product on bugs and feature gaps, providing receipts and context for recurring issues

Pay and Benefits

Salary: USD 100,000 - 130,000 annually

Equity and Bonus:Equity

Key Requirements

•2+ years in a technical support, solutions engineering, or SRE-adjacent role
•Comfortable reading logs, writing SQL, using Postman, and navigating cloud environments (AWS, GCP, Azure)
•Proficiency with Python repos: reading PRs, making fixes, running tests
•Strong Data Stack knowledge (Snowflake, Databricks, BigQuery, dbt, Airflow or similar)
•AI fluency and experience using AI coding assistants/LLM tools in workflows

Experience:2+ yearsData observabilityAICloud

Skills:CommunicationProblem-solvingCustomer-facingDocumentationSqlPythonPostmanCloud

Languages:English

Tech Stack:SQLPostmanPythonAWSGCPAzureSnowflakeDatabricksBigQueryDbtAirflow

Company Brief

Monte Carlo

Provides an end-to-end data and AI observability platform that detects, triages, and resolves data incidents to improve data reliability for enterprise analytics and ML systems.

Industry: Data Infrastructure

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2019

Glassdoor: 4.5

Website LinkedIn Glassdoor