Technical Enablement & Developer Relations Lead job opportunity at TetraScience.

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Date2026-04-15T09:07:07.832Z bot
TetraScience Technical Enablement & Developer Relations Lead
Experience: 2-years
Pattern: Full-time
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Germany
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About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “ The Tetra Way ,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. What You Will Do TetraScience 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&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 & AI Cloud, leverage new platform capabilities, and innovate in our ecosystem. You’ll collaborate closely with Product, Platform Engineering, Field Engineering, Customer Engagement & 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 TetraScience's growth trajectory and market position while ensuring our platform is accelerating science and patient outcomes across countless use cases. Responsibilities Scientific & Domain Expertise Deep understanding of pharmaceutical/life sciences R&D workflows, data, and scientific principles Ability to engage credibly with data scientists, lab scientists, and R&D IT stakeholders Technical Skills Able to code and build practical solutions using scientific data platforms, pipelines, and apps Translate complex technical problems into working implementations within a pharma context Training & Enablement Design and deliver in-person training sessions, workshops, and demonstrations for both technical and non-technical audiences Create supporting materials: tutorials, documentation, sample code, and best practice guides Communication & Collaboration Translate technical and scientific concepts into clear, accessible language for non-technical stakeholders Collaborate with Product, Engineering, and UX teams to surface customer feedback as actionable requirements Must Have: 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 Nice To Have: 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

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