Who We Are TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships:<a href="https://www.tetrascience.com/company/news"> Latest News and Announcements | TetraScience Newsroom</a>In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day.What You Will DoTetraScience is looking for a Technical Enablement Lead / Developer Relations Lead for the EU. The ideal candidate should have expertise in customer and field enablement, adult learning principles, educational program creation, use case architecture and implementation, and a genuine passion for Data and AI technologies. The candidate should be driven by a desire to educate and inspire, and have the technical skills to quickly prototype new ideas and solutions. And finally, the candidate should seek to ensure developers can be successful with minimal friction, and champion product and process changes that make this a reality. You will work to understand the needs of different user personas (data scientists, machine learning engineers, scientists and R&amp;D IT analysts), analyze their data environment, assist in the design and implementation of self-service solutions, and create training artifacts to accelerate adoption and growth.This is a technical enablement role, interfacing between internal and external stakeholders including; sales teams, technical teams, customers and potential customers. Your expertise not only covers the technical aspects of data integration, storage, access and architectures but also includes the skills to convey complex technical concepts in a way that aligns with business needs and potential solutions.Your work will directly impact how developers adopt TetraScience’s Scientific Data &amp; AI Cloud, leverage new platform capabilities, and innovate in our ecosystem. You’ll collaborate closely with Product, Platform Engineering, Field Engineering, Customer Engagement &amp; Support, Sales, and Marketing teams to empower customers, technical field team members, and all customer-facing technical roles through exceptional enablement programs.You’ll set the strategy for EU developer experience and community, including partners, customers, and independent developers; and be responsible for how developers discover, onboard, build, and scale applications. This role will be pivotal in growing our developer ecosystem, gathering crucial feedback to inform product development.Your work will educate and inspire the biopharmaceutical industry as to the power of an open ecosystem where precisely engineered scientific data flows freely and without restrictions. Your success in this role will directly shape TetraSciences growth trajectory and market position while ensuring our platform is accelerating science and patient outcomes across countless use cases. Responsibilities<ul> <li>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.</li> <li>Work with data scientists, lab scientists and lab managers (or R&amp;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 &amp; AI Cloud. </li> <li>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.</li> <li>Prepare internal business analysts, solution architects, technical architects, data architects, data engineers with scientific context, literature, and technical best practices.</li> <li>Translate complex technical topics into easily digestible content for non-technical stakeholders.</li> <li>Drive the creation of technical resources, best practices, and self-service tools that help developers succeed in building on TetraScience’s Scientific Data &amp; AI Cloud.</li> <li>Design and deliver compelling presentations and demonstrations to both small and large audiences.</li> <li>Design and execute workshops, hackathons, webinars, and events to educate and engage the developer community.</li> <li>Produce technical blogs, tutorials, sample code, and other content to showcase capabilities and best practices.</li> <li>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).</li> <li>Collaborate with UX/UI designers and advocate for developers to ensure the product interface is user-friendly, facilitating seamless data access, reuse, and analysis</li> <li>Bring creative ideas and proposals to development teams and executives supported by qualitative justification and quantitative analysis.</li> </ul>Must Have:<ul> <li>2+ years professional experience in a Life Sciences company and/or a scientific background</li> <li>3+ years professional experience as data scientist, scientific data engineer, or solutions architect</li> <li>2+ years professional experience in technical enablement and/or developer relations</li> <li>Solid experience running large scale enablement programs, and how to evangelize and roll out the programs effectively across the organization</li> <li>Exceptional communication, storytelling, and presentation skills, coupled with a strong executive presence and the ability to effectively influence and engage large audiences</li> <li>Strong technical background with hands-on experience in SQL, Python, and modern data stack technologies</li> <li>Deep understanding of drug discovery, development, and manufacturing processes</li> <li>Ability to travel regularly to customer locations and whiteboard the product strategy with them</li> <li>Experience with data governance, privacy, and compliance considerations</li> <li>Exceptional stakeholder management skills with ability to influence C-level executives</li> <li>Ability to deal with ambiguity and thrive in a constantly changing and evolving work environment</li> <li>Experience working with high-bandwidth and high-energy professionals</li> <li>Insatiable curiosity to learn, develop, and grow year-over-year</li> <li>Great interpersonal skills and an ability to coordinate and drive initiatives supporting multiple teams</li> </ul>Nice To Have:<ul><ul> <li>Experience at high-growth SaaS companies with complex data needs</li> <li>Previous experience as a practicing bench scientist is highly valued</li> <li>Previous experience within a biopharma company in an IT related function is a big plus</li> <li>Background in technical support / field service highly valuable - this demonstrates your ability to internalize complexities and tailor explanations for a given audience</li> <li>Familiarity with enterprise sales processs within the pharmaceutical sector</li> <li>Experience with AWS application stack</li> </ul></ul>