[Remote] Head of Engagement, EMEA at TetraScience

Brussels, Brussels, Belgium

Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Scientific Data, AI Cloud, Data ManagementIndustries

Skills

Key technologies and capabilities for this role

Engagement LeadershipProgram ManagementCustomer SuccessEMEA MarketScientific DataAI CloudCloud SolutionsData ManagementCustomer CentricityResults-Driven

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What experience is required for this role?

Candidates need a demonstrated history of building and leading high-performing delivery or engagement teams, experience managing critical team activities and delivering complex data solutions, and experience in the Life Sciences industry.

What is the company culture like at TetraScience?

The culture emphasizes the 'Tetra Way,' a unique approach to company and team building focused on extreme ownership and alignment with company values.

What leadership style is expected in this role?

The role requires a player-coach leadership style with extreme self-discipline, determination, and extreme ownership, acting as a forward-deployed captain rather than a spectator.

What makes a strong candidate for this position?

A strong candidate is customer-centric, results-driven, passionate about delivering value in the Life Sciences industry, and has a proven track record of building high-performing teams with extreme ownership.

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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