Enterprise Account Executive
CrusoeSalary not specified
- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Enterprise Software, Data & AnalyticsIndustries
Requirements
Candidates must have 5-7+ years of experience in enterprise software sales, preferably in cloud, AI/ML, data analytics, or geospatial technology. A proven track record of meeting or exceeding sales quotas and closing six-figure enterprise deals is essential, along with exceptional relationship-building skills with executive stakeholders. An entrepreneurial mindset and experience in early-stage startups are desired, as well as strong technical aptitude to understand complex solutions. Outstanding communication, negotiation, and presentation skills are required.
Responsibilities
The Enterprise Account Executive will own and manage the entire sales cycle for enterprise deals, from prospecting to negotiation and closing. They will develop and execute a go-to-market strategy in collaboration with the leadership team, build strong relationships with key stakeholders at enterprise clients, and drive adoption of the Wherobots Spatial Intelligence Cloud platform. Additionally, they will establish scalable sales processes, manage CRM, and serve as the voice of the customer to influence product development.
Skills
Sales
Prospecting
Negotiation
Closing Deals
CRM Management
Pipeline Reporting
Forecasting
Consultative Selling
Stakeholder Management
B2B Sales
Go-to-Market Strategy
Wherobots
Geospatial data processing and analytics platform
About Wherobots
Wherobots offers a spatial intelligence cloud platform that helps clients manage and process geospatial data efficiently. Their product utilizes Apache Sedona, an open-source framework, to perform large-scale spatial data operations on cluster computing systems like Apache Spark. What sets Wherobots apart is its unified interface for all spatial data needs, allowing for seamless operations and real-time data engineering. The company's goal is to simplify the handling of spatial datasets from ingestion to delivery through a subscription model.
Key Metrics
Phoenix, ArizonaHeadquarters
2022Year Founded
$26.3MTotal Funding
SERIES_ACompany Stage
Data & Analytics, AI & Machine LearningIndustries
11-50Employees