[Remote] Engagement Director, Americas at TetraScience

United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Scientific Data, AI, Cloud Computing, Life SciencesIndustries

Requirements

Candidates should possess a Bachelor’s degree and have demonstrated experience in managing critical activities of delivery teams, consistently delivering complex data solutions in challenging scenarios, and embodying the principles of extreme ownership. They should also have a proven history of building and leading high-performing delivery or engagement teams, along with a customer-centric approach and the ability to navigate complex customer hierarchies within the Life Sciences industry, coupled with exceptional communication skills and the capacity to tell compelling stories in difficult situations.

Responsibilities

The Engagement Director will concurrently drive activities for renewal numbers and overall success of implementation delivery and value realization, collaborating closely with Account Executives and Pre-sales TAMs to identify and land expansion opportunities. They will also drive activities for the overall success of implementation delivery and value realization, and will be expected to embody the TetraScience values and ethos daily, ensuring customer success and expanding the customer base while navigating the evolving platform and new value creation paths.

Skills

Account Management

Customer Success

Sales

Project Management

Data Management

Scientific Data

Cloud Solutions

Customer Engagement

Value Realization

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.

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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