[Remote] Lead, Technical Enablement & Developer Relations at TetraScience

Manchester, England, United Kingdom

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Scientific Data, AI Cloud, Data Management, Artificial IntelligenceIndustries

Skills

Key technologies and capabilities for this role

Technical EnablementDeveloper RelationsCustomer EnablementField EnablementAdult Learning PrinciplesEducational Program CreationUse Case ArchitectureUse Case ImplementationDataAIPrototypingSolution Development

Questions & Answers

Common questions about this position

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require working from an office in the EU?

This information is not specified in the job description.

What key skills are required for the Technical Enablement Lead role?

Required skills include expertise in customer and field enablement, strong understanding of adult learning principles, proven experience in creating educational programs, proficiency in use case architecture and implementation, passion for Data and AI technologies, and technical skills to prototype new ideas.

What is the company culture like at TetraScience?

Candidates are required to review the 'Tetra Way' letter by co-founder and CEO Patrick Grady to ensure alignment with the company's values and ethos.

What makes a strong candidate for this Developer Relations Lead position?

A strong candidate will have expertise in customer enablement, experience creating educational programs using adult learning principles, proficiency in use case architecture, passion for Data and AI, technical prototyping skills, and alignment with TetraScience's 'Tetra Way' values.

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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