Strategic Account Executive - Central (Remote)
AuditBoard132,000 - 198,000 USD/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, Enterprise SoftwareIndustries
Requirements
Candidates should have 7+ years of SaaS experience with at least 5 years in closing roles. Experience selling to Global 2000 companies and in the C-suite is required, along with a demonstrated track record in an early-stage company or highly ambiguous environment. Experience selling complex and technical products to data and engineering teams is necessary, as well as proven success in closing six and seven-figure software cloud deals. Familiarity with consumption models, target account selling, solution selling, and consultative sales techniques is a plus, along with knowledge of MEDDPICC and Challenger methodologies.
Responsibilities
The Strategic Account Executive will develop and execute consultative sales strategies to generate pipeline and drive sales opportunities. They will leverage ABM support to prospect into CTOs and Data Leaders while building strong relationships to create growth opportunities. The role involves becoming a thought leader in demonstrating how Monte Carlo drives business outcomes for large enterprises and collaborating with internal teams and external partners. Additionally, they will research, identify, and generate new business opportunities to manage a sales funnel and pipeline.
Skills
Sales
Account Management
Consultative Selling
Solution Sales
ABM
Pipeline Generation
Relationship Building
Thought Leadership
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.
Key Metrics
San Francisco, CaliforniaHeadquarters
2019Year Founded
$229.6MTotal Funding
SERIES_DCompany Stage
Data & Analytics, AI & Machine LearningIndustries
201-500Employees