Enterprise Account Executive, EMEA
HightouchSalary not specified
Full Time
Mid-level (3 to 4 years)
[Remote] Enterprise Account Executive, EMEA at Monte Carlo Data
London, England, United Kingdom
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
AI
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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