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

Seattle, Washington, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Enterprise Software, Data & AnalyticsIndustries

Skills

Key technologies and capabilities for this role

Enterprise SalesStrategic/Consultative SellingAccount-Based Marketing (ABM)CTO EngagementData Leadership stakeholder managementSales Engineering collaborationPipeline generationForecastingUpmarket / Large enterprise salesCRM

Questions & Answers

Common questions about this position

Is this role remote or does it require office work?

The role is remote and open to anywhere in the Pacific Northwest, ideally in Seattle.

What salary can I expect for this position?

This information is not specified in the job description.

What experience is required for this Large Enterprise Account Executive role?

Candidates need 7+ years of SaaS experience with 5+ years in closing roles, experience selling to Global 2000 companies, a track record of closing six and seven-figure deals, and experience selling complex technical products to data and engineering teams.

What is the team structure like for this position?

The role reports directly to a Strategic Sales Leader and is part of the fastest-growing sales team, poised to quadruple over the next few years, collaborating across sales engineering, marketing, sales, and partnerships.

What makes a strong candidate for this account executive role?

Strong candidates have C-suite selling experience with excellent listening skills, a track record in early-stage or ambiguous environments, and expertise in outbound sales, category creation, or build vs. buy scenarios, plus familiarity with target account selling, solution selling, MEDDPICC, or 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

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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