[Remote] Head of Demand Generation at Monte Carlo Data

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data, AIIndustries

Requirements

12+ years of B2B marketing experience, with 5+ years in demand generation leadership
Demonstrated success scaling demand gen organizations and building repeatable growth engines
Proven experience developing strong partnerships with sales and SDR teams to drive pipeline growth
A track record of running integrated, multi-channel campaigns that combine demand programs with brand amplification (events, PR/AR, paid, social, email)
Deep expertise in pipeline forecasting, revenue attribution, and performance reporting
Executive presence with the ability to influence senior leadership and align demand strategy with company priorities
Strong background in SaaS or technology with global go-to-market experience
You stand out if you have experience in both sales led and product led motions
You stand out if you have built systems and processes for operating a demand function at scale
You stand out if you have a strong understanding and relationship with executing events
You stand out if you have creative instincts with a bias for bold, market-shaping ideas

Responsibilities

Design and execute an integrated, cross-channel marketing plan that ensures Monte Carlo shows up in key conversations around Data + AI Observability
Own channel budgets, optimize spend, and measure ROI to maximize reach and efficiency
Lead bold, creative initiatives that break through the noise and put Monte Carlo in the top consideration set
Establish a culture of data-driven experimentation, testing, and continuous improvement in campaign design and execution
Build, manage, and mentor a high-performing team; oversee agencies and contractors as needed
Partner closely with Product Marketing, Sales, and SDRs to ensure alignment between narrative amplification and pipeline growth

Skills

Demand Generation

Paid Media

Events

Webinars

Social Media

Email Marketing

Analyst Relations

Public Relations

Budget Management

ROI Optimization

Data-Driven Experimentation

Team Leadership

Campaign Management

Monte Carlo Data

Provides end-to-end data observability solutions

About Monte Carlo Data

Monte Carlo Data helps businesses ensure the reliability of their data through end-to-end data observability, allowing real-time monitoring of data freshness, volume, schema, and quality. Their platform includes tools for incident detection and resolution, which assist analysts in addressing data quality issues efficiently. By integrating with communication tools like Slack and JIRA, it fits seamlessly into existing data management processes. The goal is to help businesses avoid the costs associated with bad data, making it suitable for data-dependent companies across various industries.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$229.6MTotal Funding

SERIES_DCompany Stage

Data & Analytics, AI & Machine LearningIndustries

201-500Employees

Benefits

Remote Work Options

Risks

Increased competition from Cribl and BigEye may impact market share.

Technical challenges in integrating with vector databases could affect performance.

New Chief Revenue Officer may lead to strategic shifts disrupting operations.

Differentiation

Monte Carlo offers end-to-end data observability for real-time data monitoring.

The platform integrates with tools like Slack, Teams, and JIRA for seamless communication.

Monte Carlo's root cause analysis speeds up data quality incident resolution.

Upsides

Growing demand for data observability tools boosts Monte Carlo's market potential.

Integration with vector databases opens new opportunities in AI model development.

Real-time data monitoring solutions are increasingly sought after by businesses.

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