About the job
About Us
TetraScience is at the forefront of the Scientific Data and AI revolution. We are dedicated to transforming the scientific landscape by engineering AI-native scientific data sets, supporting a diverse portfolio of next-generation lab data management solutions, and unlocking AI-enabled outcomes.
As the leading entity in this burgeoning market, TetraScience has outpaced all competitors in revenue generation. Over the past year, major industry players in computing, cloud, data, and AI infrastructure have recognized TetraScience as the benchmark for excellence, entering into co-innovation and go-to-market alliances: Latest News and Announcements | TetraScience Newsroom
As part of your application process, we encourage you to read the Tetra Way letter, authored by our co-founder and CEO, Patrick Grady. This document will help you assess if our values and ethos align with your own.
Understanding and embodying the principles outlined in this letter is crucial for your potential success within our team. We invite you to reflect on this during your application journey.
Your Role
As a Senior PreSales Solutions Architect, you will forge strategic technical partnerships with our clients, acting as the primary architect for scientific end-users. You will design, implement, and deliver transformative solutions tailored for our pharmaceutical and biotech customers. Your role will involve comprehensively understanding the needs of scientists and R&D IT analysts, analyzing their data environments, and assisting in the design and deployment of our solutions to guarantee rapid ROI, reduced risk, and sustainable project success.
Key Responsibilities
- Act as the primary technical liaison for strategic accounts.
- Facilitate lifecycle engagement and accelerate adoption from presales through delivery.
- Manage technical health and risks.
- Engage in strategic planning and stakeholder management across sales, product management, and engineering teams.
- Support sales enablement and growth initiatives.
- Build and maintain deep technical and scientific relationships.
Strategic Technical Partnership
- Gain a profound understanding of customer scientific data and AI architecture and objectives.
- Provide proactive and prescriptive technical advice.
- Serve as a trusted advisor focused on achieving customer outcomes.

