Monte Carlo

2 months ago

Applied Forward Deployed Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Post-sale, technical ownership from contract to live deployment. Deploy customers on Snowflake and Databricks, build integrations and automations, drive adoption to measurable value, unblock deployment issues, and expand usage across teams while serving as a trusted technical advisor.

Location: San Francisco, Seattle, New York, Boston, Atlanta

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Own onboarding and deployment from day one post-close — getting customers live on Snowflake, Databricks, and adjacent stack components with monitors, alerts, and integrations configured for their environment
•Drive customers to consumption — ensure they're actively using what they bought and realizing measurable value
•Write production-quality code where needed: custom integrations, API-based automations, SDK implementations, and data quality rule deployments tailored to customers’ pipelines
•Unblock customers fast — diagnose deployment issues, resolve edge cases, and remove blockers between a signed contract and a fully operational Monte Carlo environment
•Build adoption depth beyond the initial champion — help customers expand usage across teams, data assets, and use cases to drive long-term stickiness

Travel: Medium travel

Pay and Benefits

Salary: USD 140,000 - 180,000 annually

Equity and Bonus:Equity

Key Requirements

•5+ years building on Snowflake, Databricks, or modern cloud data warehouse environments; familiarity with dbt, Airflow, Fivetran, Looker, or similar is a strong plus
•Proficient in Python and SQL, and comfortable working with REST APIs in customer environments
•Experience owning technical relationships with enterprise customers and communicating with senior leaders (e.g., VP level)
•Proven track record of post-sale ownership from signed contract to live adoption and driving consumption
•Ability to operate in ambiguous environments and help build or improve playbooks

Experience:5+ yearsData observabilityCloud data warehouseSnowflakeDatabricks

Education:Bachelor's

Skills:PythonSQLREST APIsSnowflakeDatabricksDbtAirflowFivetranLookerSDKsData quality

Languages:English

Tech Stack:PythonSQLREST APISnowflakeDatabricksDbtAirflowFivetranLookerSDK

Company Brief

Monte Carlo

Provides an end-to-end data and AI observability platform that detects, triages, and resolves data incidents to improve data reliability for enterprise analytics and ML systems.

Industry: Data Infrastructure

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2019

Glassdoor: 4.5

Website LinkedIn Glassdoor

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Monte Carlo

2 months ago

Applied Forward Deployed Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco, Seattle, New York, Boston, Atlanta

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Own onboarding and deployment from day one post-close — getting customers live on Snowflake, Databricks, and adjacent stack components with monitors, alerts, and integrations configured for their environment
•Drive customers to consumption — ensure they're actively using what they bought and realizing measurable value
•Write production-quality code where needed: custom integrations, API-based automations, SDK implementations, and data quality rule deployments tailored to customers’ pipelines
•Unblock customers fast — diagnose deployment issues, resolve edge cases, and remove blockers between a signed contract and a fully operational Monte Carlo environment
•Build adoption depth beyond the initial champion — help customers expand usage across teams, data assets, and use cases to drive long-term stickiness

Travel: Medium travel

Pay and Benefits

Salary: USD 140,000 - 180,000 annually

Equity and Bonus:Equity

Key Requirements

•5+ years building on Snowflake, Databricks, or modern cloud data warehouse environments; familiarity with dbt, Airflow, Fivetran, Looker, or similar is a strong plus
•Proficient in Python and SQL, and comfortable working with REST APIs in customer environments
•Experience owning technical relationships with enterprise customers and communicating with senior leaders (e.g., VP level)
•Proven track record of post-sale ownership from signed contract to live adoption and driving consumption
•Ability to operate in ambiguous environments and help build or improve playbooks

Experience:5+ yearsData observabilityCloud data warehouseSnowflakeDatabricks

Education:Bachelor's

Skills:PythonSQLREST APIsSnowflakeDatabricksDbtAirflowFivetranLookerSDKsData quality

Languages:English

Tech Stack:PythonSQLREST APISnowflakeDatabricksDbtAirflowFivetranLookerSDK

Company Brief

Monte Carlo

Provides an end-to-end data and AI observability platform that detects, triages, and resolves data incidents to improve data reliability for enterprise analytics and ML systems.

Industry: Data Infrastructure

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2019

Glassdoor: 4.5

Website LinkedIn Glassdoor