TetraScience

Lead, Technical Enablement & Developer Relations

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

Requirements

The ideal candidate possesses expertise in customer and field enablement, adult learning principles, educational program creation, use case architecture and implementation, and a passion for Data and AI technologies. Strong technical skills for prototyping new ideas and solutions are essential, along with a drive to ensure developer success and champion product improvements. Experience interfacing with sales teams, technical teams, customers, and potential customers is required, encompassing technical aspects of data integration, storage, access, and architectures, as well as the ability to convey complex technical concepts effectively.

Responsibilities

The Technical Enablement Lead/Developer Relations Lead will understand the needs of various user personas, analyze their data environments, assist in designing and implementing self-service solutions, and create training artifacts to accelerate adoption. This role involves educating and inspiring the biopharmaceutical industry on the power of an open ecosystem for scientific data. Key responsibilities include setting the strategy for EU developer experience and community, managing developer discovery, onboarding, building, and scaling applications, and gathering feedback to inform product development. The role directly impacts developer adoption of TetraScience's Scientific Data & AI Cloud and innovation within the ecosystem, collaborating with Product, Engineering, Sales, and Marketing teams to empower customers and field team members through enablement programs.

Skills

Technical Enablement
Developer Relations
Customer Enablement
Field Enablement
Adult Learning Principles
Educational Program Creation
Use Case Architecture
Use Case Implementation
Data
AI
Prototyping
Solution Development

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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