Enterprise Account Executive -Scientific Data Cloud (EMEA)

Position Overview

• Location Type: Remote
• Job Type: full
• Salary:

TetraScience is seeking an Enterprise Account Executive to join its Enterprise Sales Team. This role is responsible for introducing potential clients to the value of the Scientific Data Cloud, managing the full sales cycle, and driving account acquisition. The ideal candidate will be comfortable building a territory, segmenting target lists, leading acquisition campaigns, and managing stakeholders through to account closure. Collaboration and a commitment to customer success are essential.

About TetraScience

TetraScience is the Scientific Data and AI Cloud company, leading the Scientific AI revolution by creating AI-native scientific data sets and next-generation lab data management solutions. The company is the category leader in its market, with significant partnerships with major players in compute, cloud, data, and AI infrastructure. TetraScience emphasizes a strong values and ethos alignment, encouraging candidates to review the "Tetra Way" letter from the CEO.

Responsibilities

• Spearhead the growth and adoption of the TetraScience Scientific Data Cloud.
• Manage the full sales cycle from prospecting and qualifying through closing.
• Uncover new opportunities from existing customers and target accounts.
• Provide timely and accurate forecasts and clear visibility on sales and revenue performance.
• Leverage and coordinate cross-functional teams (Legal, Engineering, Marketing, Product) to navigate complex sales cycles.
• Engage in team development and mentoring.
• Lead compelling presentations of TetraScience Data Integration Products and vision to diverse audiences, including R&D IT, Informatics, Scientists, Data Scientists, Directors, VPs, CDOs, and Digital Transformation Executives.
• Travel to customers and events to prospect and promote TetraScience’s products.

Requirements

• 5+ years of experience in a sales role within Cloud Data and Life Sciences software.
• For Cloud Data candidates: Proven ability to sell and translate how complex data platforms handle ingestion, harmonization, orchestration, and enable AI/ML to enterprise customers.
• Experience closing $1M+ SaaS sales opportunities.
• Understanding of how to map and work large accounts.
• Proficiency in all aspects of the sales cycle: Prospecting, Qualifying, Presentation, Demonstration, POC (Proof of Concept), negotiation, and closing.
• Experience using [Specific CRM or Sales Tools - Information not provided in the original text]