Enterprise Account Executive, EMEA

London, England, United Kingdom

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Data Management, Artificial Intelligence, SaaSIndustries

Requirements

Candidates should possess at least 6 years of SaaS experience, with a minimum of 4 years in closing roles, and experience selling to companies with over 1000 employees. A demonstrated track record in an early-stage company or ambiguous environment is required, along with experience selling complex, technical products to data and engineering teams. Experience in two of the following is also necessary: outbound sales, category creation, or build vs. buy decisions. Fluency in English and proficiency in at least one other EMEA language is preferred.

Responsibilities

The Enterprise Account Executive will be responsible for driving new logo acquisition within prospective customer accounts in the EMEA region. This role involves contributing to the development of the enterprise sales playbook and bringing a new category to market. Responsibilities include passing learnings and feedback to sales, marketing, product, and engineering teams, and establishing foundational sales processes for a rapidly growing team.

Skills

SaaS

Enterprise Sales

Account Management

Data Engineering

Category Creation

Outbound Sales

Complex Sales

Technical Sales

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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