[Remote] Applied Forward Deployed Engineer (FDE)

Note: The job is a remote job and is open to candidates in USA. Monte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems. They are seeking an Applied Forward Deployed Engineer to prototype integrations and connectors based on customer requests, conduct rapid field testing, and relay insights back to Engineering to enhance the core product.

Responsibilities

• Meet with customers to understand their technical requirements, data environments, and integration gaps — then translate those conversations into working prototypes
• Build integrations and connectors tailored to customer data stacks (Snowflake, Databricks, Salesforce, and others) using Python, SQL, and REST APIs
• Run rapid field testing in customer environments — ship fast, validate fast, iterate fast
• Document what you learn and relay it back to Engineering: what customers are asking for, what worked, what didn't, and why
• Work alongside senior FDEs to hand off proven solutions that can scale into the core product
• Become a trusted technical contact for your customers — someone they loop in early, not after something breaks

Skills

• 1–3 years in a technical role where you owned deployment or integration work in customer or enterprise environments — implementation engineering, integration engineering, applied engineering, or similar
• Hands-on with Python and SQL
• Comfortable working with REST APIs in real environments, not just in tutorials
• Current on where AI tooling is heading and has applied it in actual work
• Strong written and verbal communication

Benefits

• Offers Equity
• Offers Commission
• Competitive compensation, equity, and a remote-first environment.

Company Overview

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