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

Manchester, England, United Kingdom

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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

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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