TetraScience

Enterprise Account Executive -Scientific Data Cloud (EMEA)

Basel, Basel-Stadt, Switzerland

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Scientific Data Management, AI and Cloud ComputingIndustries

Requirements

Candidates are required to have 5+ years of experience in a sales role within Cloud Data and Life Sciences software, with experience translating complex data platform capabilities (ingestion, harmonization, orchestration, and AI/ML enablement) to enterprise customers. They should be experienced in closing $1M+ SaaS sales opportunities and possess a thorough understanding of the entire sales cycle, including prospecting, qualifying, presentation, demonstration, proof of concept, negotiation, and closing.

Responsibilities

As an Enterprise Account Executive, the responsibilities include expanding rapidly and adding to the Enterprise Sales Team, introducing potential clients to the value of the Scientific Data Cloud, building a territory and segmenting a target list, leading large account acquisition campaigns, managing stakeholders to account closure, creating and managing the engagement process for focus accounts, providing timely and accurate forecasts, leveraging cross-functional teams for efficient sales cycles, engaging in team development and mentoring, delivering compelling presentations to various audiences, traveling to customers and events to prospect and promote TetraScience’s products, and spearheading the growth and adoption of TetraScience Scientific Data Cloud.

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

Benefits

Unlimited PTO
100% company paid health, dental, & vision
Company paid life insurance
401k savings
Company paid disability insurance
Equity program
Flexible work arrangements

Risks

Rapid AI development may outpace TetraScience's integration capabilities, risking obsolescence.
Dependency on partners like Google Cloud and NVIDIA could pose risks if disrupted.
International expansion may expose TetraScience to regulatory and compliance challenges.

Differentiation

TetraScience offers a vendor-neutral, open, cloud-native platform for scientific data management.
The platform integrates with any lab equipment or software, enhancing flexibility and adaptability.
TetraScience's Scientific Data Cloud centralizes and harmonizes data, preparing it for AI/ML applications.

Upsides

Partnerships with NVIDIA and Google Cloud enhance AI-native scientific datasets and capabilities.
Collaboration with Databricks accelerates the Scientific AI revolution in life sciences.
Bayer AG partnership maximizes scientific data value, driving innovation in biopharma.

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