Account Executive, Enterprise Acquisition
Snowflake- Full Time
- Junior (1 to 2 years)
TetraScience is seeking an Enterprise Account Executive to join their Enterprise Sales Team. The primary goal of this role is to introduce potential clients to the value of the Scientific Data Cloud. This position requires comfort in building a territory, segmenting target lists, leading large account acquisition campaigns, and managing stakeholders through to account closure. The ideal candidate will be instrumental in creating, managing, and delivering the engagement process for their focus accounts. Collaboration, excellent communication skills, and a strong commitment to customer success are essential. The candidate should be forward-thinking, passionate about selling complex data platforms, and adept at explaining how these platforms handle ingestion, harmonization, orchestration, and enable AI/ML for enterprise customers.
TetraScience is the Scientific Data and AI Cloud company, catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets. They offer next-generation lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this market, with significant revenue and partnerships with dominant players in compute, cloud, data, and AI infrastructure. The company emphasizes its unique values and ethos, as outlined in the "Tetra Way" letter authored by its co-founder and CEO, Patrick Grady. Candidates are encouraged to review this document to assess cultural fit.
Cloud platform for scientific data management
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.