Monte Carlo

AI

TechnicalSupportEngineer

$100–130k United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Technical Support Engineer at Monte Carlo. Skills: Technical Support, AI Systems, Data Stack. Diagnose and resolve technical issues. Own issues end-to-end”

What You'll Achieve.

Reduce ticket volume over time; Ship fixes to production; Focus on the complex ones

Industry & Context.

AI
Problems you'll solve

Dig into customer data stacks; Reproduce issues; Diagnose and resolve technical issues

Eligibility Requirements

ET hours are required

What They're Looking For.

Must Have

2+ years in a technical support, solutions engineering, or SRE-adjacent role, Comfortable reading logs, writing SQL, using Postman, navigating cloud environments (AWS, GCP, Azure), Comfortable finding your way around a Python repo, reading PRs, writing fixes, running tests, ship a patch, Know the modern data stack, Understand complex pipelines, Understand how AI agents and ML-driven systems can fail, Not intimidated by probabilistic outputs, model drift, it worked yesterday, Used AI coding assistants, LLM tools actively in your workflow, Clear, calm, and honest under pressure, Explain something technically complex, Write docs without being asked, Notice when a process is broken, propose a fix, Use AI to automate a repetitive support task

Nice to Have

Contributed to or tested AI-powered support tooling

What You'll Do.

Diagnose and resolve technical issues

Own issues end-to-end

Build and maintain documentation

Work alongside the team building AI-powered support tooling

Partner with Engineering and Product on bugs and feature gaps

Drive high-priority customer issues over the line

Collaborate with Customer Success

and Field Engineering

Use AI to surface patterns across cases

How You'll Work.

Team & Collaboration

Work closely with Engineering; Collaborate with Customer Success; Collaborate with Sales; Collaborate with Field Engineering; Partner with Engineering and Product

Communication Scope

Customer Communication; Explain something technically complex to a data engineer and to a VP of Data

Process & Methodology

Own issues end-to-end, Drive high-priority customer issues over the line, Coordination across teams

Full Job Description

About Monte Carlo Monte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems. As enterprises prepare to deploy thousands of agents across business-critical use cases, Monte Carlo provides the reliability infrastructure to support them along this AI transformation, from human-guided agents to fully autonomous operations. Founded in 2019 and backed by leading investors, Monte Carlo empowers data and AI teams to ship trusted AI at scale. Learn more at montecarlodata.com http://montecarlodata.com. THE ROLE Monte Carlo is hiring Technical Support Engineers to own the end-to-end customer experience when things go wrong — from the first Slack message to closing the loop with Engineering. This is not a ticket-routing function. You'll dig into customer data stacks, reproduce issues in complex environments, write internal runbooks, and ship fixes to production as a regular part of the job — not an exception. You'll be joining at a moment when the support function is being rebuilt with AI tooling and proper engineering rigor — which means you'll have real input into how this team operates. Location: US East Coast (Eastern time zone). This role works closely with East Coast customers and partners — ET hours are required. WHAT YOU'LL DO - Diagnose and resolve technical issues across Monte Carlo's platform — data pipelines, monitors, alerts, integrations, and agent observability features — using logs, SQL, APIs, and whatever it takes - 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 that actually reduces ticket volume over time - Work alongside the team building AI-powered support tooling — contribute to prompt design, test coverage, and escalation logic for the bot handling tier-1 setup and FAQ - Partner with Engineering and Product on bugs and feature

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