[Remote] Large Enterprise Account Executive, TOLA at Monte Carlo Data

Austin, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Enterprise SoftwareIndustries

Skills

Key technologies and capabilities for this role

Consultative SalesStrategic Account ManagementEnterprise SalesABMSales StrategyCTO engagementData Leader engagementCross-functional collaborationSales Engineering collaborationThought leadership

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position, ideally based in TOLA.

What experience is required for this role?

Candidates need 7+ years of SaaS experience with 5+ years in closing roles, experience selling to Global 2000 companies, a track record in early-stage or ambiguous environments, and selling complex technical products to data and engineering teams.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the company culture like at Monte Carlo?

Monte Carlo emphasizes equality as a core tenet of its culture and has been named an Inc. Best Workplace for 2024.

What makes a strong candidate for this position?

A strong candidate has a proven track record of closing six and seven-figure deals with Global 2000 companies, experience in C-suite selling with excellent listening skills, and familiarity with consultative sales techniques like MEDDPICC and Challenger methodologies.

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