Enterprise Account Executive
Lakeside SoftwareSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Scientific Data Management, AI and Cloud ComputingIndustries
Requirements
Candidates should possess 5+ years of experience in a sales role within Cloud Data or related Life Sciences software, with experience selling and translating complex data platform capabilities (ingestion, harmonization, orchestration, and AI/ML enablement) to enterprise customers. They must have a proven track record of closing $1M+ SaaS sales opportunities and the ability to grow accounts into 8-figure opportunities.
Responsibilities
As an Enterprise Account Executive, the individual will be responsible for introducing potential customers to the value of the Scientific Data Cloud, managing the full sales cycle from prospecting and qualifying to account closure, uncovering new opportunities from existing customers and target accounts, providing accurate forecasts, leveraging cross-functional teams to navigate complex sales cycles, engaging in team development and mentoring, delivering compelling presentations to various audiences, and traveling to customers and events to prospect and promote TetraScience’s products.
Skills
Account Management
Stakeholder Management
Territory Building
Account Acquisition
Campaign Management
Collaboration
TetraScience
Cloud platform for scientific data management
About TetraScience
TetraScience offers a cloud-based platform called the Scientific Data Cloud, which helps biopharmaceutical companies manage and harmonize their scientific data for research and development, quality assurance, and manufacturing. The platform connects various lab instruments and software, streamlining data management and significantly reducing task completion time. TetraScience's vendor-neutral and open design allows it to work with any lab equipment, making it a flexible solution in the life sciences sector. The company's goal is to enhance scientific outcomes by preparing data for artificial intelligence and machine learning applications.
Key Metrics
Boston, MassachusettsHeadquarters
2019Year Founded
$113.8MTotal Funding
SERIES_BCompany Stage
AI & Machine Learning, Biotechnology, HealthcareIndustries
51-200Employees