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

Open to anywhere in the US on the West Coast.

Category
Strategic Account Management
Sales & Account Management
Required Skills
Sales
Marketing
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 offers a platform for businesses to monitor and ensure the reliability of their data through end-to-end data observability. It allows users to track data freshness, volume, schema, and quality in real time, which is crucial for data engineers. The platform also includes tools for incident detection and resolution, helping analysts address data quality issues efficiently. By integrating with communication tools like Slack and Teams, Monte Carlo Data aims to help businesses prevent costly data incidents and maintain stakeholder trust.

Company Stage

Series D

Total Funding

$229.6M

Headquarters

San Francisco, California

Founded

2019

Growth & Insights
Headcount

6 month growth

-4%

1 year growth

4%

2 year growth

14%
Simplify Jobs

Simplify's Take

What believers are saying

  • The $135M Series D funding round and a $1.6B valuation underscore strong investor confidence and provide ample resources for growth and innovation.
  • New features like Performance Monitoring and the Data Product Dashboard enhance the platform's value proposition, making it more attractive to data-dependent businesses.
  • Strategic partnerships with companies like Fivetran expand Monte Carlo's ecosystem, improving data reliability at scale and increasing market reach.

What critics are saying

  • The competitive landscape in data observability is intensifying, with rivals like Cribl and BigEye also vying for market share.
  • Rapid expansion and integration of new features may lead to operational challenges and potential service disruptions.

What makes Monte Carlo Data unique

  • Monte Carlo Data specializes in end-to-end data observability, offering real-time monitoring and incident resolution, which sets it apart from competitors like Cribl and BigEye.
  • The platform's seamless integration with popular communication tools like Slack, Teams, and JIRA enhances its usability and adoption across various business environments.
  • Monte Carlo's recent focus on vector databases and real-time streaming data, including integrations with Apache Kafka, positions it uniquely in the AI and data reliability market.

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