
Job Overview
Location
Remote, Americas
Job Type
Full-time
Category
Marketing
Date Posted
April 15, 2026
Full Job Description
📋 Description
- • Senior Demand Generation Manager responsible for owning the execution of core demand programs that drive MQL and pipeline growth for Monte Carlo Data, a trusted data + AI reliability platform serving Fortune 500 clients like Fox, Roche, and Honeywell.
- • Day to day: Build, promote, and run webinars and virtual events end-to-end; manage the demand generation email calendar; design and execute multi-touch HubSpot nurture programs; analyze 6sense intent data for audience targeting; build sales handoff workflows; execute field marketing programs (executive dinners, regional events); own pre/post-tradeshow campaigns for Snowflake Summit, Databricks Summit, and Gartner Data & Analytics; and manage campaign operations including HubSpot workflows, UTM tracking, list management, and performance reporting.
- • About the team or company: Monte Carlo is a CBInsights AI100 company backed by Accel, Redpoint Ventures, and Salesforce Ventures, recognized as the #1 Data Observability Platform by G2 for four consecutive quarters and named 2026 Best Place to Work by Built In. The Demand team collaborates closely with Sales, SDRs, Field Marketing, and Marketing Operations to move pipeline forward across Strategic and Enterprise segments.
- • What the person can learn or achieve: Drive measurable impact on MQL volume and S0/S1/S2 pipeline targets; deepen expertise in HubSpot, Salesforce, and 6sense; master end-to-end webinar and event execution; strengthen cross-functional partnership with sales teams; gain experience using AI tools to accelerate copy, targeting, and program efficiency; and grow as a culture-builder in a high-trust, inclusive environment that values positivity, energy, and initiative.
Skills & Technologies
About Monte Carlo Data, Inc.
Monte Carlo Data, Inc. provides a data observability platform that monitors data pipelines, detects anomalies, and alerts teams to data quality issues across warehouses, lakes, and ETL systems. It automates lineage tracking, impact analysis, and root-cause investigation to reduce downtime and improve trust in analytics and machine-learning outputs. The company serves data engineers, analysts, and data scientists in finance, e-commerce, healthcare, and technology sectors, integrating with Snowflake, Databricks, BigQuery, Redshift, and Airflow to deliver real-time reliability metrics and governance controls.
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