Monte Carlo Data

Growth Marketing Manager

Dallas, Texas, United States

$130,000 – $150,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data, AI, SaaSIndustries

Requirements

Candidates should have 4-5 years of experience in performance marketing, demand generation, growth marketing, or digital marketing. Deep expertise in B2B paid channels such as Google Ads, LinkedIn Campaigns Manager, and Facebook Ads is required. Proven ability to create strategic briefs and work cross-functionally with various teams is necessary, along with strong project management skills. Experience partnering with Marketing Operations and using automation platforms like Hubspot is expected. Familiarity with Google Analytics, 6sense, and Salesforce is a plus, as are advanced analytical skills and comfort with reporting platforms. Startup or high-growth experience is also a strong plus.

Responsibilities

The Growth Marketing Manager will own the development, execution, and optimization of digital marketing programs across paid, email, webinars, and organic channels to drive measurable impact. They will support enterprise and strategic segment campaign creation and optimization across Google Ads, LinkedIn Campaigns, Facebook Ads, and Influ2. Responsibilities include partnering with content on keyword strategies for paid search, supporting owned channel conversion initiatives, managing email marketing requests, and collaborating with marketing operations for campaign setup and performance tracking. The role involves measuring and reporting on campaign results, sharing insights, identifying opportunities, and experimenting with innovative tactics to unlock new growth opportunities.

Skills

Growth Marketing
Digital Marketing
Paid Search
Google Ads
LinkedIn Campaigns
Facebook Ads
Influ2
Keyword Strategy
Email Marketing
Content Marketing
Marketing Operations
Campaign Management
Lead Generation
Pipeline Management
Revenue Generation

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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