Monte Carlo

Monte Carlo

Applied Forward Deployed Engineer (FDE)

Remote, US · Senior

Sponsorship not specifiedDetected 65 days ago
PythonSpringSQLSnowflakeDatabricksRESTProduct ManagementProduct StrategySalesforce5G/LTECommunication

About the role

  • You'll prototype integrations and connectors based on real customer requests, conduct rapid field testing in live environments, and relay what you learn back to Engineering so the best solutions make it into the core product.
  • You're the link between what customers need today and what Monte Carlo ships tomorrow.
  • The FDE team at Monte Carlo is a small, rapid-prototyping unit in the field.

Responsibilities

  • 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

Requirements

  • Field-Facing Engineering Experience
  • 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.
  • You know how to debug integrations when they break in the field.
  • You need a fully defined process before you can ship

Compensation

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

Benefits

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

Company info

  • The team handles customer-specific technical integration requests without constraining the core product roadmap - FDEs prototype solutions, conduct rapid field testing, and relay what they learn back to Engineering and Product.
  • 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
  • Meet with customers to understand their technical requirements, data environments, and integration gaps - then translate those conversations into working prototypes
  • Document what you learn and relay it back to Engineering: what customers are asking for, what worked, what didn't, and why
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This listing is sourced directly from Monte Carlo's careers page and normalized into a canonical job model.