Applied Forward Deployed Engineer

Role Description

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 — helping customers expand usage across teams, data assets, and use cases to drive long-term stickiness.
• Become the technical advisor customers call before they escalate — shaping how they operationalize data observability and growing into a trusted extension of their data team.
• Feed deployment and adoption signals back to Product and Engineering — you'll have the clearest view of what's working in production and where customers get stuck.
• Help define what great post-sale technical execution looks like as an early FDE hire — you'll shape the playbook.

Qualifications

• 5+ years building on Snowflake, Databricks, or modern cloud data warehouse environments — not as an end user, as someone who designs, builds, and debugs on top of them.
• Familiarity with the tools that surround the warehouse — dbt, Airflow, Fivetran, Looker, or similar — is a strong plus.
• Comfortable writing Python and SQL and working with REST APIs in customer environments.
• You've owned technical relationships with enterprise customers.
• You've been the person accountable for getting customers from signed contract to live and adopted.
• You've worked in environments where the playbook didn't exist yet.
• Familiarity with data quality concepts, pipeline monitoring, or incident response in data environments is a strong plus.

Requirements

• Bachelor's degree in computer science, data science, engineering, economics, business analytics, or a related field.

This Is Not For You If

• You measure success by go-live, not by consumption.
• You prefer deep, isolated engineering work over customer interaction.
• You're uncomfortable owning outcomes after handoff from Sales.
• You need a fully defined playbook before you can move.

Benefits

• Category leader in data observability — a problem that only gets harder as AI raises the stakes for data reliability.
• Joining as an early FDE hire means real influence on how post-sale technical execution scales.
• Tight partnership with Customer Success, Product, and Engineering — no silo, no hand-off culture.
• Customers are data-sophisticated: you'll work with engineers who push back, which keeps the work sharp.
• Competitive compensation, equity, and a remote-first environment with ~25% travel for customer engagement.

Company Description

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.

We are proud to be recognized for our world-class employee experience:

• Monte Carlo Named 2025 Databricks Data Governance Partner of the Year.
• We were recently recognized as the #1 Data Observability Platform by G2 for the 4th consecutive quarter.
• Monte Carlo Named to G2's Best Software Products of 2026.
• Monte Carlo was featured on Database Trends and Applications (DBTA’s) Trend-Setting Products for 2025!
• We are super proud to be named the 2026 Best Place to Work by Built In!