Applied Forward Deployed Engineer (FDE)
Job Location:
San Francisco, CA - USA
Monthly Salary:
Posted on:
Vacancies:
Department:
Job Summary
About Monte Carlo
Monte Carlo is the agent trust platform that unifies data and agent observability to monitor troubleshoot and improve production AI systems. As enterprises prepare to deploy thousands of agents across business-critical use cases Monte Carlo provides the reliability infrastructure to support them along this AI transformation from human-guided agents to fully autonomous operations. Founded in 2019 and backed by leading investors Monte Carlo empowers data and AI teams to ship trusted AI at scale. Learn more at .
About the Team
The FDE team at Monte Carlo is a small rapid-prototyping unit in the field. 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.
The Role
This is a field engineering role for someone who can sit across from a customer understand what theyre trying to build and go write it. Youll 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. Youre the link between what customers need today and what Monte Carlo ships tomorrow.
What Youll Do
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 didnt 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
What Were Looking For
Field-Facing Engineering Experience
13 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. Youve built things that actually ran in production at someone elses company.
Python SQL and APIs
Hands-on with Python and SQL. Comfortable working with REST APIs in real environments not just in tutorials. You know how to debug integrations when they break in the field.
AI Fluency
Current on where AI tooling is heading and has applied it in actual work. Youre not just familiar with the concepts youve shipped something with it.
Communication That Closes the Loop
Strong written and verbal communication. Youll document customer needs brief Engineering regularly and be the person customers trust to translate technical complexity into something actionable.
This Is Not For You If
You want to work on internal tooling with no customer contact
You need a fully defined process before you can ship
Your idea of field work is joining a call and writing a summary
Youre looking for a support role this is a build role
Why Monte Carlo
Youll see your work in the product: Integrations you prototype in the field directly inform what Engineering builds next no gap between what you learn and what ships
Real scope early in your career: Small team live customer deployments from day one not a shadow program or a rotation
The space is growing: Every enterprise deploying agents needs reliability infrastructure underneath Monte Carlo is building that layer
Direct line to Engineering: What you learn in the field goes directly to the people who can act on it
Built to grow: Integrations engineering field experience AI fluency is a rare combination; youll leave with all three
Competitive compensation equity and a remote-first environment.
#LI-REMOTE
#BI-REMOTE
Come As You Are
Equality is a core tenet of Monte Carlos 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.
We are proud to be recognized for our world-class employee experience:
Monte Carlo Named 2025 Databricks Data Governance Partner of the Year
Monte Carlo Named to G2s Best Software Products of 2026
We are super proud to be named the 2026 Best Place to Work by Built In!
Beware of Imposter Recruiters and Job Scams
All official communication from our recruiting team will come from an @ email address.
We will never ask candidates to provide sensitive personal information (such as bank details social security numbers or payment) at any stage of the recruitment process.
We will never request payment for equipment training or application processing.
Our open positions are always listed on our official careers page: you are contacted by someone claiming to represent Monte Carlo but youre unsure of their legitimacy please reach out to us directly at before sharing any personal information.
Required Experience:
IC
About Company
Monte Carlo’s Data Observability platform increases trust in data by eliminating data downtime, so engineers innovate more and fix less.
