Full-Time

Strategic Account Executive

Confirmed live in the last 24 hours

Monte Carlo Data

Monte Carlo Data

201-500 employees

Provides end-to-end data observability solutions

Data & Analytics
AI & Machine Learning

Senior, Expert

San Francisco, CA, USA

Role is focused on San Francisco but open to other locations in the West.

Category
Strategic Account Management
Sales & Account Management
Required Skills
Sales
Requirements
  • 7+ years SaaS experience with 5+ years in closing roles
  • Experience selling to Global 2000 companies
  • Experience in the C-suite and excellent listening skills.
  • Demonstrated track record in an early-stage company or highly ambiguous environment
  • Experience selling to data and engineering teams complex and technical products
  • Experience in two of the following: outbound, category creation, and build vs. buy
  • Proven track record of successfully closing six and seven-figure software cloud deals with prospects and customers
  • Experience with consumption models (or willingness to learn) is a plus
  • Experience with target account selling, solution selling, and/or consultative sales techniques; knowledge of MEDDPICC and Challenger methodologies is a plus.
Responsibilities
  • Develop and execute consultative/solution sales strategies and tactics to generate pipeline, drive sales opportunities, and deliver repeatable and predictable bookings
  • Leverage ABM support to prospect into CTOs and Data Leaders
  • Build strong and effective relationships, resulting in growth opportunities
  • Become known as a thought leader in how Monte Carlo drives business outcomes for large enterprises
  • Collaborate across all major internal functional areas (sales engineering, marketing, sales, and partnerships) and with external partners and customers.
  • Research, identify, and generate new business opportunities to build and manage a sales funnel and pipeline.

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.

Company Stage

Series D

Total Funding

$229.6M

Headquarters

San Francisco, California

Founded

2019

Growth & Insights
Headcount

6 month growth

-7%

1 year growth

8%

2 year growth

14%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for data observability tools boosts Monte Carlo's market potential.
  • AI integration enhances data quality management, aligning with industry trends.
  • Partnerships with platforms like Fivetran expand Monte Carlo's service capabilities.

What critics are saying

  • Competition from Cribl and BigEye may impact Monte Carlo's market share.
  • Technical challenges in integrating vector databases and Apache Kafka may arise.
  • New Chief Revenue Officer could lead to strategic shifts affecting operations.

What makes Monte Carlo Data unique

  • Monte Carlo offers end-to-end data observability for real-time data monitoring.
  • The platform integrates seamlessly with tools like Slack, Teams, and JIRA.
  • Monte Carlo's root cause analysis accelerates data quality incident resolution.

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