Monte Carlo Data

Field Marketing Manager

New York, New York, United States

Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Enterprise Software, Data & AnalyticsIndustries

Requirements

Candidates should have at least 3 years of experience in field marketing, ABM, or event marketing, preferably within B2B SaaS or a startup environment. Proven success in partnering with sales teams on engagement strategies that impact pipeline is essential. Strong relationship-building skills with executives and decision-makers are required, along with demonstrated experience managing complex event programs. A strategic mindset with attention to detail and problem-solving abilities is necessary, as is comfort using Salesforce for program tracking and optimization. Willingness to travel and work flexible hours is also a requirement.

Responsibilities

The Field Marketing Manager will plan and execute regional trade shows, conferences, and sponsorships, ensuring strong branding and executive readiness. They will partner with sales on account planning to identify marketing engagement opportunities and develop co-marketing playbooks. Responsibilities include designing and delivering personalized ABM activations, collaborating with partners on joint programs, and managing the full event lifecycle from vendor selection to follow-up. The role also involves creating event narratives, coordinating executive meetings, and tracking/analyzing event performance to demonstrate ROI.

Skills

ABM
Field Marketing
Events
Trade Shows
Conferences
Sponsorships
Partner Marketing
Account Planning
Executive Dinners
Roadshows
On-site Meetings
Co-hosted Events
Regional Events
Pipeline Acceleration
Regional Program 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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