Monte Carlo
Data Observability
AppliedForwardDeployedEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Applied Forward Deployed Engineer at Monte Carlo. Skills: Applied Forward Deployed Engineering, Customer onboarding and deployment, Driving customer consumption and value realization, Production code development for integrations and automations, Technical problem-solving and unblocking customers, Building customer adoption and stickiness, Serving as a trusted technical advisor, Providing feedback to Product and Engineering. Own onboarding and deployment from day one post-close. Get customers liv”
What You'll Achieve.
Customer is fully live; Customer is deeply adopted; Customer is driving real value from Monte Carlo; Customer is getting value; Customer is realizing measurable value; Customer is actively using what they bought; Long-term stickiness
Industry & Context.
Diagnosing deployment issues; Resolving edge cases; Removing whatever stands between a signed contract and a fully operational Monte Carlo environment
~25% travel for customer engagement
What They're Looking For.
Must Have
5+ years building on Snowflake, Databricks, or modern cloud data warehouse environments, Comfortable writing Python and SQL, Comfortable working with REST APIs in customer environments, Owned technical relationships with enterprise customers, Been the person accountable for getting customers from signed contract to live and adopted, Worked in environments where the playbook didn't exist yet, Bachelor's degree in computer science, data science, engineering, economics, business analytics, or a related field.
Nice to Have
Familiarity with the tools that surround the warehouse — dbt, Airflow, Fivetran, Looker, or similar, Familiarity with data quality concepts, pipeline monitoring, or incident response in data environments
What You'll Do.
Own onboarding and deployment from day one post-close
Get customers live on Snowflake
and adjacent stack components with the right monitors
and integrations configured
Drive customers to consumption
Ensure customers are actively using what they bought and realizing measurable value
Write production-quality code where needed: custom integrations
API-based automations
and data quality rule deployments
Unblock customers fast by diagnosing deployment issues
and removing obstacles
Build adoption depth beyond the initial champion
Become the technical advisor customers call before they escalate
Feed deployment and adoption signals back to Product and Engineering
Help define what great post-sale technical execution looks like as an early FDE hire
How You'll Work.
Team & Collaboration
Work closely with Customer Success and Account teams; Tight partnership with Customer Success, Product, and Engineering; No silo, no hand-off culture
Communication Scope
Give a crisp status update to a VP in the same week without switching personas
Full Job Description
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 montecarlodata.com http://montecarlodata.com. THE ROLE We're building a new kind of post-sale technical role. Not a Support Engineer. Not a traditional CSM. An Applied Forward Deployed Engineer, someone who takes ownership the moment a deal closes and doesn't let go until the customer is fully live, deeply adopted, and driving real value from Monte Carlo. This is a post-sale role inside our GTM organization, focused entirely on deployment, adoption, and getting customers to consumption. You'll work closely with Customer Success and Account teams, but your metric is technical — is this customer live, and are they getting value? WHAT YOU'LL DO - Own onboarding and deployment from day one post-close — getting customers live on Snowflake, Databricks, and adjacent stack components with the right monitors, alerts, and integrations configured for their environment. - Drive customers to consumption — you're accountable for ensuring they're actively using what they bought and realizing measurable value, not just technically deployed. - Write production-quality code where needed: custom integrations, API-based automations, SDK implementations, and data quality rule deployments tailored to the customer's actual pipelines. - Unblock customers fast — diagnosing deployment issues, resolving edge cases, and removing whatever stands between a signed contract and a fully operational Monte Carlo environment. - Build adoption depth beyond the initial champion
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