Applied Forward Deployed Engineer (Post-Sales)

Monte Carlo is the agent trust platform that autonomously observes, fixes, and continuously improves agents and the data that powers them — so enterprises can scale trust at the speed of AI. Bayes, our AI teammate, does the work: detecting, triaging, troubleshooting, and fixing issues in AI agents and the data powering them.

We're hiring an Applied Forward Deployed Engineer (Post-Sales) to own the technical side of every new customer from the moment the deal closes until they're live and getting value. You'll write production code in customers' Snowflake and Databricks environments, integrate Monte Carlo with their real pipelines, and become the technical advisor they call before they escalate. This isn't support and it isn't a CSM role: your metric is whether the customer is live and consuming. It's an early hire into a new function, so you'll help write the FDE playbook, not inherit one. Remote (US), with roughly 25% travel to customers.

What you'll do:

• Own deployment from day one post-close: monitors, alerts, and integrations configured for the customer's actual environment.
• Write production-quality Python, SQL, and API integrations tailored to customer pipelines, and clear whatever stands between a signed contract and a fully operational deployment.
• Drive customers to consumption. You're accountable for active usage and measurable value, not just go-live.
• Expand adoption beyond the first champion across teams, data assets, and use cases.
• Feed what you see in the field back to Product and Engineering so it shapes the core product instead of turning into one-off work.
• Shape the FDE playbook as an early member of the team.

Full details and application on the official Monte Carlo careers page.