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

Technical Enablement Lead / Developer Relations Lead (EU)

Company Overview

TetraScience is the Scientific Data and AI Cloud company, catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets. We offer next-generation lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, with dominant players in compute, cloud, data, and AI infrastructure converging on our platform as the de facto standard.

  • Latest News: TetraScience Newsroom
  • Company Culture: Candidates are required to review the "Tetra Way" letter by our co-founder and CEO, Patrick Grady, to ensure alignment with the company's values and ethos.

Position Overview

TetraScience is seeking a Technical Enablement Lead / Developer Relations Lead for the EU region. This role is crucial for empowering developers and technical teams to successfully adopt and innovate with TetraScience's Scientific Data & AI Cloud. You will be responsible for setting the strategy for developer experience and community engagement, driving adoption, and gathering feedback to inform product development.

Key Responsibilities

  • Customer and Field Enablement: Develop and execute enablement programs for various user personas (data scientists, machine learning engineers, scientists, R&D IT analysts).
  • Educational Program Creation: Design and implement training artifacts based on adult learning principles.
  • Use Case Architecture and Implementation: Assist in the design and implementation of self-service solutions for customers.
  • Developer Experience Strategy: Set the strategy for EU developer experience and community, covering partners, customers, and independent developers.
  • Developer Onboarding and Support: Ensure developers can successfully discover, onboard, build, and scale applications with minimal friction.
  • Cross-Functional Collaboration: Work closely with Product, Platform Engineering, Field Engineering, Customer Engagement & Support, Sales, and Marketing teams.
  • Technical Communication: Convey complex technical concepts related to data integration, storage, access, and architectures in a way that aligns with business needs.
  • Ecosystem Growth: Champion product and process changes to foster developer success and grow our developer ecosystem.
  • Industry Education: Educate and inspire the biopharmaceutical industry on the benefits of an open ecosystem for scientific data.

Requirements

  • 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.
  • Technical skills to quickly prototype new ideas and solutions.
  • Ability to ensure developer success with minimal friction.
  • Skills to convey complex technical concepts effectively.
  • Experience interfacing between internal and external stakeholders (sales, technical teams, customers).

Employment Type

  • [Not Specified]

Location Type

  • Remote

Salary

  • [Not Specified]

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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