Lead, Technical Enablement & Developer Relations

Summary

Join TetraScience as a Technical Enablement Lead/Developer Relations Lead for the EU! In this role, you will bridge the gap between TetraScience and its customers, educating and inspiring stakeholders about the power of its Scientific Data & AI Cloud. You will design and implement self-service solutions, create training materials, and collaborate with various teams to empower customers and technical field team members. Your expertise in data integration, storage, and access, combined with your ability to communicate complex technical concepts, will be crucial. You will set the strategy for EU developer experience and community, gathering feedback to inform product development. Success in this role will directly impact TetraScience's growth and market position.

Requirements

• 2+ years professional experience in a Life Sciences company and/or a scientific background
• 3+ years professional experience as data scientist, scientific data engineer, or solutions architect
• 2+ years professional experience in technical enablement and/or developer relations
• Solid experience running large scale enablement programs, and how to evangelize and roll out the programs effectively across the organization
• Exceptional communication, storytelling, and presentation skills, coupled with a strong executive presence and the ability to effectively influence and engage large audiences
• Strong technical background with hands-on experience in SQL, Python, and modern data stack technologies
• Deep understanding of drug discovery, development, and manufacturing processes
• Ability to travel regularly to customer locations and whiteboard the product strategy with them
• Experience with data governance, privacy, and compliance considerations
• Exceptional stakeholder management skills with ability to influence C-level executives
• Ability to deal with ambiguity and thrive in a constantly changing and evolving work environment
• Experience working with high-bandwidth and high-energy professionals
• Insatiable curiosity to learn, develop, and grow year-over-year
• Great interpersonal skills and an ability to coordinate and drive initiatives supporting multiple teams

Responsibilities

• Serve as a “Sciborg” on the Technical Enablement team, engaging internal and external stakeholders in deeply technical and scientific dialogues to improve customer product relevance, market fit, and customer success. This customer-facing role requires a deep understanding of data management in a scientific domain
• Work with data scientists, lab scientists and lab managers (or R&D IT with lab data responsibilities) to understand and define the workflow needed to solve their problems. Translate this knowledge into solutions using TetraScience’s Scientific Data & AI Cloud
• Educate and evangelize all internal and external stakeholders around use cases and the technology that enables them, serving as the connective tissue between TetraScience and its customers
• Prepare internal business analysts, solution architects, technical architects, data architects, data engineers with scientific context, literature, and technical best practices
• Translate complex technical topics into easily digestible content for non-technical stakeholders
• Drive the creation of technical resources, best practices, and self-service tools that help developers succeed in building on TetraScience’s Scientific Data & AI Cloud
• Design and deliver compelling presentations and demonstrations to both small and large audiences
• Design and execute workshops, hackathons, webinars, and events to educate and engage the developer community
• Produce technical blogs, tutorials, sample code, and other content to showcase capabilities and best practices
• Collaborate with Product and Engineering to translate business/user requirements and feedback into actionable product requirements for development teams across the product surface area (for example: platform integrations, data pipelines, data app infrastructure)
• Collaborate with UX/UI designers and advocate for developers to ensure the product interface is user-friendly, facilitating seamless data access, reuse, and analysis
• Bring creative ideas and proposals to development teams and executives supported by qualitative justification and quantitative analysis

Preferred Qualifications

• Experience at high-growth SaaS companies with complex data needs
• Previous experience as a practicing bench scientist is highly valued
• Previous experience within a biopharma company in an IT related function is a big plus
• Background in technical support / field service highly valuable - this demonstrates your ability to internalize complexities and tailor explanations for a given audience
• Familiarity with enterprise sales processs within the pharmaceutical sector
• Experience with AWS application stack

Benefits

• Competitive Salary and equity in a fast-growing company
• Supportive, team-oriented culture of continuous improvement
• Generous paid time off (PTO)
• Flexible working arrangements - Remote work