Applied Forward Deployed Engineer (Post-Sales)

About this role

• About Monte Carlo 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.
• The result is self-improving agents that get better with every fix instead of drifting.
• More than 400 enterprises, including Amazon, PepsiCo, CNN, Nasdaq, and JetBlue, rely on Monte Carlo.
• The Role 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.
• 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.
• What We're Looking For Data platform depth.
• 5+ years building on Snowflake, Databricks, or a modern cloud warehouse as the person who designed and built it, not an end user.
• Production Python and SQL, and comfortable wiring up REST APIs in someone else's environment.

Key skills & tools

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