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About 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.
Responsibilities
- 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.
Requirements
- 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.
- Post-sale ownership. You've owned technical outcomes for enterprise customers after the contract: implementation, solutions or forward deployed engineering, technical onboarding.
- You measure yourself on go-live and adoption.
- Range with people. You can run a working session with a room of data engineers and brief a VP in the same week.
- Builder in ambiguity. You've operated without a playbook and built the structure yourself.
- You create motion instead of waiting for direction.
Skills
- Python
- SQL
- API integrations
- Snowflake
- Databricks
- dbt
- Airflow
- Fivetran
- Looker
- data quality
- pipeline monitoring
- incident response
- data observability
Location
- Remote (US)
Work Type
- Remote
- Full-time
Experience Level
- 5+ years building on Snowflake, Databricks, or a modern cloud warehouse
- Early hire
Benefits
- Competitive compensation
- Equity
- Remote-first environment
About the Company
- 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.
- We created the data observability category, and we're doing it again with agent trust — you'll build where the market is forming, not where it's settled
- Series D, $236M raised, backed by Accel, Redpoint, Notable Capital, ICONIQ Growth, and Salesforce Ventures
- Customers include HubSpot, Fox, Nasdaq, Toast, and Mercado Libre — your work ships to enterprises with real stakes
- Snowflake Partner of the Year and a verified connector in Anthropic's Claude AI directory
- Remote-first by design since day one, and recognized as a Best Workplace for it
Equal Opportunity
- Equality is a core tenet of Monte Carlo's culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.
- Monte Carlo is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.