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 Do<ul> <li>Be a leader in the Tetra Scientific Data Workflow Automation team, guiding field development as well as product direction to automate to automate lab workflows and unlock the value of scientific data</li> <li>Coordinate forward deployed engineers rapidly delivering scientific workflow automation using Tetra products. </li> <li>Support pre-sales in designing and scoping technical projects</li> <li>Run the agile development process: standups, planning, refinement, and delivery meetings</li> <li>Manage people and projects, identify and clear blockers, and keep the team moving at full velocity and accelerating</li> <li>Drive successful delivery by enabling engineers to focus on tech, while you lead coordination, prioritization, and stakeholder alignment</li> <li>Deliver complex, high-quality client projects quickly</li> <li>Provide product feedback and help engineers turn projects into core product improvements</li> <li>Self-start and make progress in the face of ambiguity and conflicting requirements</li> <li>Work with a geographically dispersed team, in various time zones (especially EMEA)</li> <li>Learn, grow, and be challenged. You will speak up and represent your position amongst peers and leadership while remaining resilient and open to constructive feedback.</li> <li>Mentor engineers towards leadership and grow the teams capabilities</li> </ul>What You Have Done<ul> <li>8+ Years of experience in Python with a focus on data</li> <li>3+ Years of experience in Life Sciences or with scientific data</li> <li>3+ Years of experience managing multiple simultaneous projects</li> <li>Experience leading and coordinating teams of engineers across diverse projects</li> <li>Experience estimating complex software projects and being accountable for delivery</li> <li>Expertise in SQL, RDS, and associated technologies</li> <li>Excellent communication skills, including technical writing</li> <li>Experience with data plotting / dashboarding tools like Streamlit, Tableau, Jupyter Notebook is a plus</li> <li>Experience with cloud infrastructure providers like AWS, Azure, or GCP is a plus</li> </ul>